1. Evaluate the fitness of each chromosome. 2. Following the principle of higher fitness and greater probability of selection, two individuals are selected from the population as the parent and the parent. 3. Extract the chromosomes of both parents and cross them to produce offspring. 4. Mutation of the chromosomes of the progeny 5, repeat 2, 3, 4 steps until the new population is born. End the cycle.

Filename	Size	Update
Matlab代码	0	2018-04-13
Matlab代码\crossover.m	812	2018-03-22
Matlab代码\fitness.m	883	2018-04-07
Matlab代码\genetic_algorithm.m	2183	2018-03-23
Matlab代码\init.m	374	2018-03-21
Matlab代码\main.m	628	2018-03-23
Matlab代码\mutation.m	542	2018-03-21
Matlab代码\plotGA.m	183	2018-03-23
Matlab代码\plotIterative.m	627	2018-04-07
Matlab代码\rank.m	2160	2018-03-22
Matlab代码\Schaffer.m	135	2018-03-23
Matlab代码\selection.m	1906	2018-03-23
Matlab代码\target.m	126	2018-03-23

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