Convention The following conventions are used throughout this document. 'Enter' means the

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Convention The following conventions are used throughout this document. 'Enter' means the Enter key or the Return key. Type 'key' means press the specified key without 'Enter'. Press F? means press the specified function key without 'Enter'. Enter means type in the specified text and followed by 'Enter' key. Select/Use an option: use cursor keys to move the highlighted option and press 'Enter', or type the upper-cased character on the left. GAF is not case sensitive, use either upper or lower cased key. System Menu The GAF system menu, at the top of the screen, is the primary user interface to the system. System menu provides sub-menu function selection (function menus): Info, Run, Display, Control, Adapt, Method, Segment, Feedback, Eval, Other, and Help. Following sections describe each function in detail. Use the first character of each selection or use cursor keys (right/left arrows) to select the sub-menu. When a function menu is selected a pull down menu appears to provide function selection. To select a function either by the character on the left of that function or move the cursor with up/down arrow keys and then "Enter". When a function is selected, further menu selection or data entry menu may be provided by that function. Press ESC in function menu will return to system menu. Press ESC under system menu will bring run function menu, except when the system menu was ESCaped from any of the running mode (i.e. from adapting or simulation). Before discussing each function menu in detail, the screen windows are explained for clarification. The Windows There are five types of system windows and four types of display windows. The system windows are: menu window, hint window, adapt status window, segment title window, and segment display window. The segment display window contains four sub-windows: rule text window (text window), trend plot window (plot window), combined result window (result window), and fuzzy rule firing window (firing window). Menu Window The menu window is at the top of the screen occupied by the system menu as described above. In any of the run mode, the menu window is closed; use ESC or F10 to get back to system menu. Hint Window The hint window is at the bottom of the screen to provide user hints (available keys or functions) to the user. Note that in run modes the hint window also displays the current schedule rate. Segment Title Window The segment title window (title window) shows the information for the selected segment, see Segment section for selecting a segment. The title window is located immediately above segment display window. Example of title window: Segment 0 20 Symbols 2 Inp VAR: MOVEMENT POS_ERR Cycle 0.06 11 Rules 1 Out VAR: CURRENT Where, the first line shows the segment ID, number of fuzzy membership symbols, number of input variables, and the names of input variables. The second line shows the cycle rate of the segment, number of rules, number of output variables, and the names of output variables. Adapt Status Window The adapt status window (adapt window) shows the status of genetic adaptation. Adapt window only exists under genetic adapting mode, it is immediately above the title window. Example of adapt window: Iteration=50 Items=10 Best=0.95 Last=0.85 Worst=0.55 Good=11 Bad=39 Generation=4 From=2 Method=ADJUST_INPUT_SET.INTENSIFY_DILUTE Mutated set NEG_LARGE defined for POS_ERROR Average=0.935 Result= 0.935 0.935 0.935 0.935 Where: Iteration indicates number of iterations Items items in the best list (gene pool) Best the best score in the gene pool Last the last score in the gene pool Worst the worst score of all iterations Good number of good iteration Bad number of bad iteration Generation the generation of current iteration From which one (in the pool) been picked for adapting Method the method used to adapt Average average score for all tests Result score for each test The third line indicates what was changed for the new generation. Segment Display Window The segment display window (display window) displays important status and information of the selected segment. The display window occupies the most part of the screen immediately above the hint window. There are four types of sub-windows inside display window for showing fuzzy rules and running status: rule text window (text window), trend plot window (plot window), combined result window (result window), and fuzzy rule firing window (firing window). The place and area of these sub- windows can be rearranged by the user, please see "Display" section for rearranging display windows. Text Window The text window shows the rules and status of the rules for current selected segment. Each rule is presented in a row with several columns associated with it. The first column indicates whether the rule is disabled (marked with 'x') or fired (marked with '*'). The second column shows the rule number. The rest of columns display the content of the rule, i.e., the fuzzy membership set symbol for corresponding inputs and outputs. These content columns are presented, in different color, with inputs first then the outputs as the same sequence shown in the title window above. if local variables are selected (see Display section) the local variables are displayed after input variables. In run modes, use cursor keys to scroll up, down, right, and left for undisplayed contents. Trend Plot Window The plot window draws the trend graph for all inputs, outputs, and selected local variables with time in x-axis and value in y-axis. Each variable has its own sub-window, started from top to bottom, with the same sequence and color as in the text window. See sub-section "Set Plot Time Frame" under Display for changing the frame duration. Combined Result Window The result window depicts the result for selected output of the segment. The trapezoid result of all fired rules, rules generate non- zero output, are in the upper portion of the window . In the lower portion of the window the defuzzified result (combined result) and the output value are displayed. Multiple outputs can be selected with split display area. See sections Segment and Display for selecting output and arranging display window. Rule Firing Window The firing window shows the fuzzy inference status (firing condition) of selected rules. This feature along with the stepping mode, under simulation or check segment, is the best way to tuneup or debug the control system. You'll find the selected rule's fuzzy sets are displayed to the left of the combined result. The corresponding input value for each set is plotted vertically in the same window. Note that each fuzzy set input has the same color as in the text window. Refer to Display section for arranging display window, and Segment section for selecting rules. Info : About GAF System The Info menu shows the version, system wide limits, and current free memory status. IO length (in bits) the supported analog IO bits Number of IO channels maximum number of IO channels supported Number of sets per segment maximum number of fuzzy input sets in a segment Number of rules per segment maximum number of rules in a segment Total variables per segment maximum number of variables (IN, OUT, and LOCAL) in a segment Number of segments maximum number of segments in the system Number of fuzzy symbols maximum number of fuzzy symbols in a segment Name length (IO & symbol) number of characters for names (variable name or symbol name) Number of best genes the maximum limit of the gene pool (best list) Run : System Run Modes The Run menu provides different modes for running GAF system. GAF offers following five running modes: control, monitor, check segment, simulation, and adapt. Also provided is to terminate (quit) the program. Although there are five running modes, they can be divided into two categories: the control (simulation) portion and the automatic adaptation. While in any of the running modes, use ESC or F10 to escape back to system menu for other functions, then ESC again will bring you back to original running mode. Use Alt-Q to quit the program. Q: Quit the program Select this option or type 'Q' to quit the program. R: Control Mode The control mode provides users for online control and limited user interfaces for interacting with the real control environment and fuzzy rule segments. The output of all segments are routed through output channels, and the inputs are brought in through the input channels. M: Monitor Mode The monitor mode provides users for online monitoring and analyzing the real control environment and fuzzy rules. The output of all segments are for display only, they are NOT routed through output channels, but the inputs are brought in through the input channels. See Simulation mode for detail user interfaces. C: Check Segment This feature allows user to examine one segment at a time. Combined with other segment functions, i.e. preset and modify variables, user can check the response of the selected segment with fixed (constant) or manual values for inputs and local variables. See Simulation mode for detail user interfaces. S: Simulation Mode The simulation mode offers user to simulate the system with feedback segment(s) for integration test. The feedback can be user defined segment(s) with FEEDBACK keyword or user provided measured data set. Refer to Feedback section for details about setting up feedback. In simulation mode GAF automatically closes the control and feedback loop with the same variable names. For example, if there is an input variable "POS_ERR" defined in the control segment, and it is also declared as an output in the feedback segment. Then GAF automatically use the result value from the feedback segment as the input value of the control segment. On initialization GAF searches through all segments to find matches among normal (control) and feedback segments. For monitor, check segment, and simulation modes, the following interactive user interfaces are supported. C : toggles on/off continuous mode F : continue until the end of the plot frame 1 ~ 9 : run 1 ~ 9 steps 0 : run 10 steps + - : increase/decrease sample rate (see below) enter : single step alt-Q : quit the program cursor keys to scroll up, down, right, and left of text window All other keys, while not in continuous mode, are treated as "Enter" for single step. Another major feature in GAF is that you can tune your system by trying different schedule rate (or cycle time defined in each segment). There are different time modes offered by simulation mode and check mode. These time modes are: real time mode, simulated time mode, sim-schedule mode, and 24 hours clock mode. Please refer to the Control section for details about these time modes. There is an easy way to change the sampling rate in sim-schedule and simulated time mode. That is to use the '+' and '-' keys. By press '+' or '-' key, GAF adjusts the schedule rate or cycle time by increasing or decreasing an adjustable amount. Please refer the Control section for setting the adjust amount. The current sample rate value will be displayed in the hint window. A: Adapt mode The genetic-adapt mode is an offline adaptation mode. While fuzzy logic mimics the human's imprecise reasoning, the genetic algorithm mimics the evolution of the nature. The genetic algorithm uses randomization techniques to reach local optimum without exhausting searching through the solution state space. With randomization, genetic algorithm is also capable of escaping from local optimum and hopping into a new better state. GAF uses genetic algorithm to derive proper rules and fuzzy sets from the initial rules. By changing, adding, deleting rules and fuzzy membership sets of the fuzzy system, the genetic algorithm automatically adapts and optimizes the fuzzy control system. Besides the feedback segment, the adapt mode also needs an evaluation segment for evaluating the result of adaptation. There are two ways to specify evaluation segment, canned evaluation or user defined segment. See Evaluation section for detail. The evaluation process for genetic-adapt is defined as follow. GAF runs through all preset cycles, which are preset conditions defined in evaluation segment. After each cycle the result score from the evaluation segment (see Evaluation for defining result) is compared to the minimum score. If it is below the minimum and the gene pool (saved best generations) has been filled up, GAF stops further evaluation of any unfinished cycles. The overall evaluation result will be the average score of all the preset cycles. The creating of a new generation is described as follow. In order to produce a new generation, GAF picks, with weighed random, one or two out of the gene pool (saved best generations) based on genetic algorithm and availability in the pool. Then applies the selected genetic algorithm to the picked item(s) to create a new generation. After starting adapt, GAF evaluates the selected adapt segment and saves it on the top of the gene pool. The pool can save up to one hundred best adaptations (or generations) in the order of their performance -- the evaluation result. See section Adapt for setting number of gene pool. GAF then produces a new generation and evaluates this new generation. The evaluation result is compared with those in the pool, and the new generation will be either inserted in the pool or thrown away. GAF repeats this process -- creation, evaluation, and judging the result, until reaches a pre-specified maximum iteration or quit from the user. User can specify the test time for preset test cycle and number of samples should be taken for evaluation. The test time is used to run each preset test, then GAF samples the score result for the specified number of times. The preset evaluation result will be the average of all samples, and the final result will be the average of all preset cycles. For example, if the test time is two seconds and the number of samples is 4 (with 0.1 sample rate), the total time for a preset cycle will be 2.3 seconds. See Evaluation section for how to define evaluation result. The following interactive interfaces are supported in adapt mode. C : continue Alt-C : switch to continuous mode Alt-P : turn on iteration pause Alt-A : turn on preset cycle pause Alt-Q : quit the program cursor keys to scroll up, down, right, and left of text window All other keys will halt adapting temporary. Control: Change Simulation Parameters The control menu allows user to change the control and simulation environment. Currently only following functions are supported. R: Real time mode T: Sim time mode S: Sim schedule mode As mentioned, there are four different time modes: real time mode, simulated time mode, sim-schedule mode, and 24 hours clock mode. The real time mode uses actual system clock (computer clock) for scheduling the segments. This mode is the only allowed mode for running in the control mode. The following is an example of how real time mode schedules a three segments system with 0.1, 0.2, and 0.3 cycle time. Assume that each segment takes 0.05 second to run. GAF scheduling table will be: Sweep # Time Seg 1 Seg 2 Seg 3 -------- -------- -------- -------- -------- 1 0.00 Run Run Run 2 0.15 Run --- --- 3 0.20 --- Run --- 4 0.25 Run --- --- 5 0.30 --- --- Run Instead of using real system time, the simulated time mode uses fixed time interval to simulate the schedule rate for the system. For example if the user specifies schedule interval is 0.1 second. Then the above scheduling table will be: Sweep # Time Seg 1 Seg 2 Seg 3 -------- -------- -------- -------- -------- 1 0.0 Run Run Run 2 0.1 Run --- --- 3 0.2 Run Run --- 4 0.3 Run --- Run 5 0.4 Run Run --- The sim-schedule mode resembles the simulated time mode, except that it does not use the cycle time of each segment for scheduling. Instead the sim-schedule mode uses the schedule rate for all segments, i.e. runs all segments all the time. Therefor, the scheduling table will be: Sweep # Time Seg 1 Seg 2 Seg 3 -------- -------- -------- -------- -------- 1 0.0 Run Run Run 2 0.1 Run Run Run 3 0.2 Run Run Run 4 0.3 Run Run Run 5 0.4 Run Run Run C: Sim schedule rate Use this option to set desired time interval in seconds for either simulated time mode or sim-schedule mode. K: Sim clock mode The simulated clock mode is a variation of sim-schedule mode. This mode allows user to simulate 24 hours clock within a single plot frame. I: Increment value As mentioned, an easy way to change the simulated schedule rate is to use the '+' and '-' keys to increase and decrease the schedule rate. This option allows user to set the amount of increasing/decreasing, the default value is 0.005 second. Segment: Change segment and value The segment menu offers user three major functions: Select a segment for display or for following actions Change/modify the segment Control/change the display of the segment S: Segment number Use this option to select a segment. The default selected segment is the first segment (the segment 0). The selected segment is displayed in the display window and title window. C: Cycle time Change the cycle time for the selected segment. Note that the real cycle time may depend on the running mode and time mode been selected. Refer to Run and Control sections for more information. I: Set input value O: Set output value L: Set local variable value These options allow user to manually set a variable's value. After select one of these options, GAF pops up a window with all variable names alone with their variable number. Select a variable, GAF then requests for new value. Enter the new desired value will close all windows. Note that you can use F7 to reset the system, see function key for detail. G: Set output gain Use this selection to change the gain of selected output. Again, just like setting variable value, GAF asks for output variable and then the new gain value. E: Enable rule D: Disable rule GAF allows you to enable or disable the rule(s) in any of the running modes. The disabled rules are marked with 'x' at the first column in text window. Select one of these options, GAF then highlights the first rule at the second column in text window. Use cursor keys to move highlighted cursor and then press 'Enter' to enable or disable the rule. A: Enable all rules This option gives user an easy way to enable all rules. P: Display result After changing the Display window's arrangement, i.e. selecting whole display or no plot mode, use this option to select the desired output you want to display. GAF automatically selects the first output for display. R: Display rule firing The above option (Display result) allows user to specify the output to display, this allows user to select rule to be displayed with its detail inferencing in firing window. When select this option, like disable/enable rule, GAF uses the text window for selecting menu. Note that selected rules are marked with 'x'. N: Combined result only When this option is selected, GAF deselects all rules from displaying its inference (firing window). So only the combined result will be displayed. S: Preset to Use this option to preset to a specific state defined by "PRESET" statements in segment(s). GAF will prompt for the preset number. Display: Arrange Display Windows The display menu allows user to arrange and select the screen layout, text font, and color of the screen display. In future version, GAF will also allow user to put all these features in a configuration file, which will be read in during initialization. 1: Use standard font 2: Use small font With these two options, you can switch between normal text display or small font text display. 3: Select normal display mode The normal display mode displays the text window on the left portion of the display window and the plot window on the right. See window split for changing the size of text window. 4: Select whole display mode In this mode the text window still occupies the left portion, but the right portion of the display window splits into two parts, the upper half shows the plot window, and the lower half displays the combined result and firing window. See Segment section for more information about selecting rules and outputs. See window split for changing size of text window. 5: Select plot only mode This option allows you to see only the plot. GAF dedicates the entire display window to plot sub-window except reduces the text window to only first two columns on the left (the status and rule number). 6: Select no plot mode This display mode removes plot window from the right portion. So the combined result and firing window are displayed on the right along with text window on the left. 7: Select text only mode This mode shows the text window only. Because graphics, i.e. trend plot draw result, and draw firing condition, takes much of CPU time, this mode allows you to speed up the test or control. P: Plot duration The default plot frame period is five seconds (except in auto clock mode). Use this option to change the frame duration, the value is specified in seconds. C: Color/monochrome Use this option to switch between color and mono mode. W: Window split (Change size of text window) Allows user to change the size of the text window. The value is specified in percent, i.e. 60 means that text window occupies 60% of the display window. If the value is greater than 90, GAF automatically switches to text only mode. If the value is less than 10, GAF shuts text window off (except the left most two columns). D: Display local variable The default display mode is to display/plot IN, OUT, and INOUT variables. The LOCAL variables are not displayed. Use this option to enable LOCAL variables. Adapt: Setup adapt environment The adapt menu is used to change the overall environment for genetic adaptation. See the Method section for more information about controlling the genetic algorithm. C: Continuous mode Set the adaptation to continuous mode without pause or delay, unless user interferes. The continuous mode is the default mode after starting adaptation. P: Iteration pause Y: Pause per cycle These two options allow user to halt the adapting process in order to examine it. The iteration pause is to halt at the end of each iteration. The cycle pause is to halt at the end of each preset cycle. Type 'C' to continue, press Alt-C to switch back to continuous mode. S: Sample number Specifies number of samples should be taken for calculating each preset test's evaluation result. W: Weight increment GAF uses linear propotional weight for random selecting from the gene pool. This option is to set the linear increment of the weight. For example the increment is 2, then the weight for the best in the gene pool will be 2 * 100 = 200, and the weight for the worst in the pool will be 2. B: Max best items The number of items kept in the best list (gene pool). The limit of this value is 1 to 10. I: Max iteration This allows user to specify the maximum number of iterations. GAF stops after this number of iterations is reached. If the value is less than or equal to 0, there is no limit. T: Test time As explained the test time is the time for each preset test before evaluate the result. Use this to set the proper value, in general it should be greater than the rising time for the longest response in all preset tests. D: Iteration delay L: Cycle delay Instead pause for each iteration/preset cycle, users can specify time delay between iterations or preset cycles. Zero value means continuous. O: Minimum score This value defines the minimum score for a successful preset test cycle. GAF tries to go through all preset tests, but stops after any preset test failed to score the minimum value. The default value is 0.6. A: Adapt segment Use this option to change the segment you want to adapt. The name of the selected adapt segment is shown on the next line in the menu. Note that the selected adapt segment may not be the same as the selected display segment. U: Use best list G: Use original segment The first option allows user to pick one adaptation out of the best list and then switch to simulation mode for testing or debugging. The "Use original segment" option allows user to switch back to the original segment, which is loaded from the file. R: Reset best list This option allows user to clear the gene pool, i.e. delete every sample in the gene pool. Feedback: Setup feedback module GAF supports two kinds of feedback modules. The first one is using user data, from field measured data or generated from higher level model. The other choice is to use user defined feedback segment. A user defined segment is just like a control segment with FEEDBACK keyword instead of SEGMENT. You can define the feedback segment with fuzzy rules or with math formulas. Multiple feedback segments are allowed. The outputs from feedback segment(s) are routed to all segments' inputs if they have the same variable name. Please refer to Fuzzy Control Language (FCL) guide for constructing a GAF segment. To use user data as feedback, user simply put data in a text file with spread sheet like format, i.e., one column per variable, with different variables in a row. The data must be an evenly distributed complete data set with both input and output variables specified like a feedback segment. GAF only has limited capability to handle non-evenly distributed data set. The output variables defined in this file will be treated as output of a feedback segment. Besides put data in the text file, user can specify following options in the same file or interactively. whether to compress data or not type of fuzzy set bandwidth of fuzzy set D: Use feedback data With this option to select the use of feedback data specified in a text data file. This option and the option "user feedback" are mutually exclusive. R: Reload data Use this option to load or reload data from specified data file. F: Feedback data file This option specifies the file name of the text feedback data file. E: Examine feedback Use this option to check/examine the response of the feedback. When selected, GAF uses check segment mode for user to examine its response. U: User feedback S: Feedback segment These two options are used to specify user defined feedback segment. Use 'U' to select user feedback. This will deselect feedback data option. The "feedback segment" option specifies which one is the feedback segment. Evaluation: Setup evaluation module The Eval menu provides user for specifying type of evaluations and related parameters. There are two types of evaluation: the user defined evaluation segment and the canned evaluation. With user evaluation segment, the user has to specify which segment is the evaluation segment and what is the final result (an output variable) of the evaluation. The default evaluation segment name is "EVALUATION", and the default result variable is "EVAL_RESULT". When user starts adapt mode, GAF tries to find both evaluation segment and result variable, if not defined GAF stops. With GAF supported canned evaluation the user must specify following information: variable(s) to evaluate the target of those variable(s) the deadbands of those variable(s) the rising time the preset tests User can use non-symmetric deadband to achieve overshoot or undershoot requirements. D: Default evaluation To select default (canned) evaluation. This will deselect user evaluation. After select canned evaluation, user must specify output variable(s) for evaluation. V: Variable to eval Use this option to specify the variable to evaluate and its target, rising time, and dead bands for selected display segment. GAF pops up a window for user to select and fill in all parameters. U: User evaluation E: Eval segment R: Eval result variable These three options are used to specify user defined segment. Use 'U' to select user evaluation. This will deselect default evaluation. The "eval segment" option specifies which one is the evaluation segment, and the "eval result variable" option specifies the evaluation result variable. Method: Control Genetic Algorithm GAF uses weighed random to select one of the genetic algorithms for creating next generation. The method menu allows user to control these algorithms by setting new weight factor. A method can be disabled by setting zero weight. For example, if no new rules are allowed then set "adding rules" to zero. The method menu is divided into two parts, the upper half for changing weights for overall adapting methods. The lower half is to change the detailed weight for specific adapting method. Z: Zero all weights This option zeros all weights in the upper half adapting methods. C: Change rules 4: Change rules ... The change rules method adapts the existing rules inside that generation. The first option (in the upper half) changes the overall weight for adapting existing rules. The second option is used to change the detail adapting weights inside change rules. When the second option is selected, GAF pops up a sub menu under method menu. The followings are options in the sub menu. I: Adjust input set 5: Adjust input set ... The adjust input set method alters the fuzzy membership sets defined in the segment. The first option (in the upper half) changes the overall weight for adapting input fuzzy membership set. The second option is used to change the detail adapting weights inside input set adaptation. When the second option is selected, GAF pops up a sub menu under method menu. The followings are options in the sub menu. M: Mutate The mutate method randomly change one or two "cell" in the membership set. Use this option to set the weight of mutation. C: Crossover The crossover method uses two parent genes (two generations from the gene pool) to generate next generation by inheriting cells from either parent. I: Intensify/dilute The intensify method intensifies the membership set, the dilute method dilutes the membership set. B: Broaden/restrict This method either broaden or restrict the fuzzy membersip set. S: Shift fuzzy set The shift method shifts the membership set along the value without changing its shape. T: Change truth This method alters the truth value of the selected fuzzy membership set. K: Scale (0 - 1) The scale factor defines how much the above methods, except mutate and crossover, would change the set's value. One means 100% and zero means none. A: Adding new rule This method creates new generation by adding new rule to the segment. The new rule is created with the same way as described in change rule. E: En/dis-able rule This method disable (or enable) rule to form a new segment. T: Alter cycle time This method creates new generation by modifying the cycle time of the old segment. The range of cycle time can be specified with max and min under adapt menu. G: Alter output gain This method adjusts the output gain to form a new generation. 1: Max cycle time 2: Min cycle time These two values clamp the sample rate, the cycle time of the segment. GAF will not exceed these limits during adaptation when adapting of cycle time is enabled (the weight for alter cycle time is greater than 0). 3: Maximum rules This option allows user to set a limit for number of rules is allowed during adaptation. If the number is less than 1 there will be no limit. Other: Report and Other Functions The Other menu provides the following functions: B: Report selected best list A: Report all items in list R: Report file These options allow user to generate report about the item(s) in the best list. Use 'R' to set the file name of the report. Use 'A' to report all items in the list, and use 'P' to select one out of the list. L: Enable adapt log D: Enable detail log O: Log file to In adapt mode, GAF can generate a log file for user to review. Use 'L' to enable (disable) the log, use 'D' to switch on (off) detail log. Use 'O' to specify the log file name. E: Enable plot data P: Plot data to When enabled, GAF generates a data file for the result of each iteration. The data file can be used by MyPlot to plot. The 'T' option specifies the file name of the data file. S: Generate statistic log T: Statistic to These options allow user to generate statistic report about the adaptation. Use 'T' to set the file name of the statistic log. The log includes statistics for all methods. Based on the statistic you may want to adjust the weight of the methods. Function Keys F1: Get help GAF provides context sensitive help. Press F1 to call up the on-line help. Inside help you can jump to other topic by selecting listed topic. F2: Display the system info Press F2 to see the system limits. F3: Next segment Press F3 to switch the display segment. F4: View segment information Press F4 to see the variable definition, initialization and run functions, and other information for the selected display segment. F5: View symbol definition Press F5 to see the fuzzy set symbols' definition for this segment. F6: View preset definition Press F6 to see the preset definition for this segment. F7: Reset the system The F7 function key allows you to reset the system. The system reset is defined in each segment's INITIALIZATION declaration. GAF goes through all segments executes the initialization defined in each segment and reset the segment scheduler. Configuration When starts up, GAF searches configuration file "GAF.CFG" under current directory or where GAF.EXE resides. The configuration file is a text file for setting up the GAF environment. The format of the configuration file is a series of "attribute = attribute_value;". The attribute can be in any order and can be defined multiple times with the latter value overrides the previous value. The configuration attribute can also be included inside FCL module file by enclosing it within "CONFIGURATION" and "END_CONFIGURATION;" keywords. Because FCL modules are proce( *(after GAF.CFG, so FCL's configuration will override GAF.CFG. The following configuration attributes are provided by GAF. COLOR_MODE Enable/disable color display. Valid values are YES and NO. The default is COLOR_MODE = YES; MENU_COLOR Sets the color for the system menu and pulldown menus. Available colors are: BLACK, BLUE, GREEN, CYAN, RED, MAGENTA, BROWN, LIGHTGRAY, DARKGRAY, LIGHTBLUE, LIGHTGREEN, LIGHTCYAN, LIGHTRED, LIGHTMAGENTA, YELLOW, WHITE. The default is MENU_COLOR = CYAN; MENU_TEXT_COLOR Sets the foreground text color for the system menu and pulldown menus. The default is MENU_TEXT_COLOR = BLUE; HIGHLIGHT_COLOR Sets the color for the highlight bar. The default is HIGHLIGHT_COLOR = GREEN; HIGHLIGHT_TEXT_COLOR Sets the foreground text color for the highlighted entry. The default is HIGHLIGHT_TEXT_COLOR = RED; DISPLAY_MODE Initializes the display mode. Available values are: NORMAL_DISPLAY, DISPLAY_PLOT_ONLY, DISPLAY_WHOLE, DISPLAY_NO_PLOT, DISPLAY_TEXT_ONLY. Please refer to Display section for details. The default is DISPLAY_MODE = NORMAL_DISPLAY; WINDOW_SPLIT Initializes the size of the text window. The value is in percentage of the screen. Please refer to Display section for details. The default is WINDOW_SPLIT = 55; PLOT_DURATION Assigns the duration of the trend plot in seconds. The default is PLOT_DURATION = 5.0; TEXT_FONT FONT_SIZE Configures the text font. Available font are: NORMAL and SMALL. The size should be 1 for normal font and 4 for small font. The default is TEXT_FONT = NORMAL; FONT_SIZE = 1; DISPLAY_LOCAL_VARIABLE This attribute determines whether local variables will be displayed along with input/output variables. The default is DISPLAY_LOCAL_VARIABLE = NO; SIM_SCHEDULE_RATE The SIM_SCHEDULE_RATE determines the simulated schedule rate. The value should be a floating number in seconds. The default is SIM_SCHEDULE_RATE = 0.06; SIM_INC_RATE The SIM_INC_RATE attribute defines the increment of + and - keys during simulation mode. The default is SIM_INC_RATE = 0.005; EVAL_SAMPLE This attribute defines how many samples should GAF take for calculating average evaluation result during adaptation. The default is EVAL_SAMPLE = 3; GENE_WEIGHT_INC Defines the proportion weight increment for gene pool. The default is GENE_WEIGHT_INC = 2; MAX_BEST_ITEM Initializes the gene pool size, i.e. number of best genes saved in the best list. The default is MAX_BEST_ITEM = 10; TEST_TIME The TEST_TIME attribute initializes the duration for each evaluation cycle for adaptation. The value is in seconds, and default is TEST_TIME = 2.0; MIN_SCORE This attribute sets the minimum evaluation score for the adaptation mode. The default is MIN_SCORE = 0.6; CHG_RULE_WEIGHT ADJ_INPSET_WEIGHT ADD_RULE_WEIGHT ABLE_RULE_WEIGHT CHG_CYCLE_WEIGHT CHG_GAIN_WEIGHT These attributes are used to assign the weight for genetic adapting methods. The values should be in integer, and the defaults are 1. Please refer Method section for details. ADJ_INPSET_MUTATE_WEIGHT ADJ_INPSET_CROSSOVER_WEIGHT ADJ_INPSET_INTENSIFY_WEIGHT ADJ_INPSET_BROADEN_WEIGHT ADJ_INPSET_SHIFT_WEIGHT ADJ_INPSET_CHG_TRUTH_WEIGHT ADJ_INPSET_SCALE These attributes are used to assign the weight for adjusting the input fuzzy membership set. The values should be in integer, and the defaults are 1. Please refer Method section for details. MAX_RULE The MAX_RULE defines the maximum number of rules allowed during adaptation. The default is zero, i.e. there is no limit for number of rules. MAX_CYCLE_RATE MIN_CYCLE_RATE These two attributes define the limit of cycle rate for the adaptation. The default are: MAX_CYCLE_RATE = 0.50; MIN_CYCLE_TIME = 0.03; EVAL_NULL_BAND Defines the null band for the score of evaluation result. The default is EVAL_NULL_BAND = 0.02; ENABLE_ADAPT_LOG ENABLE_DETAIL_ADAPT_LOG ENABLE_PLOT_DATA_LOG These attributes initialize the status of enable or disable adapt log, adapt detail log, or the plot data log. Valid values are: YES to enable and NO to disable. The defaults are NO. ADAPT_LOG_FILE PLOT_DATA_FILE ADAPT_REPORT_FILE STATISTIC_REPORT_FILE These attributes define the file names for the adapt log, plot data, adapt report, or the statistic report. The defaults are: ADAPT_LOG_FILE = "adaptlog.log"; PLOT_DATA_FILE = "adaptlog.dat"; ADAPT_REPORT_FILE = "adaptlog.rpt"; STATISTIC_REPORT_FILE = "adaptlog.sta";

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E-Mail Fredric L. Rice / The Skeptic Tank