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% Genetic Algorithm Toolbox.% Version 1.2 15-Apr-94% Department of Automatic Control and Systems Engineering% University of Sheffield, England%% Creating populations% crtbase - create a base vector% crtbp - create a binary population% crtrp - create a real-valued population% % Fitness assignment% ranking - rank-based fitness assignment% scaling - proportional fitness-scaling% % Selection and reinsertion% reins - uniform random and fitness-based reinsertion% rws - roulette wheel selection% select - high-level selection routine% sues - stochastic universal sampling% % Mutation operators% mut - discrete mutation% mutate - high-level mutation function% mutbga - real-value mutation% % Crossover operators% recdis - discrete recombination% recint - intermediate recombination% reclin - line recombination% recmut - line recombination with mutation features% recombin - high-level recombination function% xovdp - double-point crossover% xovdprs - double-point reduced surrogate crossover% xovmp - general multi-point crossover% xovsh - shuffle crossover% xovshrs - shuffle reduced surrogate crossover% xovsp - single-point crossover% xovsprs - single-point reduced surrogate crossover% % Subpopulation support% migrate - exchange individuals between subpopulations% % % Utility functions% bs2rv - binary string to real-value conversion% rep - matrix replication% % Demonstration and other functions% mpga - multi-population genetic algorithm demonstration% objfun1 - De Jongs first test function (used by sga)% objharv - harvest function (used in mpga)% resplot - result plotting (used in mpga)% sga - simple genetic algorithm demonstration
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