Raw data for evolving AVC controller

An Excel spreadsheet generated by the genetic algorithm (GA) program "GenAlgor4_1_5Arduino.m", which calls the Arduino Due program "ArduinoMatlabControllerV6_2.ino" to impliment hardware-in-the-loop active vibration control. <br> The spreadsheet contains raw data from a run of 250 generations of the GA optimising controller coefficients for active vibration control (AVC). The run in this file was for a population of 50 individuals, each of 60 x 4 bit genes. Breeding was by elite selection with double point crossover and 1% mutation. <br> The first six rows contain the GA set up: row 1: population size row 2: number of genes per chromosome (population member) row 3: number of bits per gene row 4: breeding selection type (1=elite, 2=roulette) row 5: breeding crossover type (1=single point, 2=double point or circular) row 6: mutation rate Rows 7 onwards give population genes and AVC results in each generation, sorted in order of performance index (PI) = fitness - cost 1st generation and thereafter every 10th generation are given in full. Other generations’ results are given only for the best, middle and worst individuals only. Each row gives the value of each gene, a number 0-15 for 4 bit genes, in columns A-BH for 60 genes. This is followed by three columns containing the AVC results: column BI: performance index = fitness - cost column BJ: amplitude returned from Arduino column BK: cost fitness = amplitude reduction - cost amplitude reduction = uncontrolled - AVC amplitude cost = sum of delay line coefficients × a constant <br>