Genetic algorithm has a strong problem solving ability, this place uses it to solve the job shop scheduling problem

chapter17\PSOt\forcecol.m
chapter17\PSOt\forcerow.m
chapter17\PSOt\goplotpso.m
chapter17\PSOt\linear_dyn.m
chapter17\PSOt\normmat.m
chapter17\PSOt\pso_Trelea_vectorized.m
chapter17\PSOt\spiral_dyn.m
chapter17\testfunctions\ackley.m
chapter17\testfunctions\alpine.m
chapter17\testfunctions\DeJong_f2.m
chapter17\testfunctions\DeJong_f3.m
chapter17\testfunctions\DeJong_f4.m
chapter17\testfunctions\f6.m
chapter17\testfunctions\f6mod.m
chapter17\testfunctions\f6_bubbles_dyn.m
chapter17\testfunctions\f6_linear_dyn.m
chapter17\testfunctions\f6_spiral_dyn.m
chapter17\testfunctions\forcecol.m
chapter17\testfunctions\forcerow.m
chapter17\testfunctions\Foxhole.m
chapter17\testfunctions\goplotpso.m
chapter17\testfunctions\Griewank.m
chapter17\testfunctions\linear_dyn.m
chapter17\testfunctions\main.m
chapter17\testfunctions\NDparabola.m
chapter17\testfunctions\normmat.m
chapter17\testfunctions\pso_Trelea_vectorized.m
chapter17\testfunctions\Rastrigin.m
chapter17\testfunctions\Rosenbrock.m
chapter17\testfunctions\spiral_dyn.m
chapter17\testfunctions\test_func.m
chapter17\testfunctions\tripod.m
chapter17\PSOt
chapter17\testfunctions
chapter17

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