Based on genetic algorithms and nonlinear programming function optimization algorithm, genetic algorithm and nonlinear programming function optimization algorithm to find the optimal value, which includes three examples and three linear nonlinear examples.

案例1\Code.m
.....\Cross.m
.....\fun.m
.....\Genetic.asv
.....\Genetic.m
.....\Mutation.m
.....\Select.m
.....\test.m
....2\Code.m
.....\Cross.m
.....\fun.m
.....\Genetic.m
.....\Mutation.m
.....\Select.m
.....\test.m
....3\Code.m
.....\Cross.m
.....\fun.m
.....\Genetic.m
.....\Mutation.m
.....\Select.m
.....\test.m
....1非线性\Code.m
...........\Cross.m
...........\fun.m
...........\main.m
...........\Mutation.m
...........\nonlinear.m
...........\Select.m
...........\test.m
....2非线性\Code.m
...........\Cross.m
...........\fun.m
...........\Genetic.asv
...........\Genetic.m
...........\Mutation.m
...........\nonlinear.m
...........\Select.m
...........\test.m
....3非线性\Code.m
...........\Cross.m
...........\fun.m
...........\Genetic.m
...........\Mutation.m
...........\nonlinear.m
...........\Select.m
...........\test.m
案例1
案例2
案例3
案例1非线性
案例2非线性
案例3非线性

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