GitHub - IdiosyncraticDragon/SimpleEC: This is a simple Evolutionary Computation Implementation

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This is a simple Evolutionary Computation Implementation

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Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
DE.m		DE.m
EDA.asv		EDA.asv
EDA.m		EDA.m
EF8F2_func_data.mat		EF8F2_func_data.mat
E_ScafferF6_M_D10.mat		E_ScafferF6_M_D10.mat
E_ScafferF6_M_D2.mat		E_ScafferF6_M_D2.mat
E_ScafferF6_M_D30.mat		E_ScafferF6_M_D30.mat
E_ScafferF6_M_D50.mat		E_ScafferF6_M_D50.mat
E_ScafferF6_func_data.mat		E_ScafferF6_func_data.mat
GA.asv		GA.asv
GA.m		GA.m
PSO.asv		PSO.asv
PSO.m		PSO.m
README		README
README.txt		README.txt
README~		README~
RunExperiment1.asv		RunExperiment1.asv
RunExperiment1.m		RunExperiment1.m
ackley_M_D10.mat		ackley_M_D10.mat
ackley_M_D2.mat		ackley_M_D2.mat
ackley_M_D30.mat		ackley_M_D30.mat
ackley_M_D50.mat		ackley_M_D50.mat
ackley_func_data.mat		ackley_func_data.mat
applyAlgToBenchmark.m		applyAlgToBenchmark.m
applyDEToBenchmark.m		applyDEToBenchmark.m
applyGAToBenchmark.asv		applyGAToBenchmark.asv
applyGAToBenchmark.m		applyGAToBenchmark.m
benchmark_func.m		benchmark_func.m
elliptic_M_D10.mat		elliptic_M_D10.mat
elliptic_M_D2.mat		elliptic_M_D2.mat
elliptic_M_D30.mat		elliptic_M_D30.mat
elliptic_M_D50.mat		elliptic_M_D50.mat
fbias_data.mat		fbias_data.mat
func_plot.m		func_plot.m
global_optima.mat		global_optima.mat
griewank_M_D10.mat		griewank_M_D10.mat
griewank_M_D2.mat		griewank_M_D2.mat
griewank_M_D30.mat		griewank_M_D30.mat
griewank_M_D50.mat		griewank_M_D50.mat
griewank_func_data.mat		griewank_func_data.mat
high_cond_elliptic_rot_data.mat		high_cond_elliptic_rot_data.mat
hybrid_func1_M_D10.mat		hybrid_func1_M_D10.mat
hybrid_func1_M_D2.mat		hybrid_func1_M_D2.mat
hybrid_func1_M_D30.mat		hybrid_func1_M_D30.mat
hybrid_func1_M_D50.mat		hybrid_func1_M_D50.mat
hybrid_func1_data.mat		hybrid_func1_data.mat
hybrid_func2_M_D10.mat		hybrid_func2_M_D10.mat
hybrid_func2_M_D2.mat		hybrid_func2_M_D2.mat
hybrid_func2_M_D30.mat		hybrid_func2_M_D30.mat
hybrid_func2_M_D50.mat		hybrid_func2_M_D50.mat
hybrid_func2_data.mat		hybrid_func2_data.mat
hybrid_func3_HM_D10.mat		hybrid_func3_HM_D10.mat
hybrid_func3_HM_D2.mat		hybrid_func3_HM_D2.mat
hybrid_func3_HM_D30.mat		hybrid_func3_HM_D30.mat
hybrid_func3_HM_D50.mat		hybrid_func3_HM_D50.mat
hybrid_func3_M_D10.mat		hybrid_func3_M_D10.mat
hybrid_func3_M_D2.mat		hybrid_func3_M_D2.mat
hybrid_func3_M_D30.mat		hybrid_func3_M_D30.mat
hybrid_func3_M_D50.mat		hybrid_func3_M_D50.mat
hybrid_func3_data.mat		hybrid_func3_data.mat
hybrid_func4_M_D10.mat		hybrid_func4_M_D10.mat
hybrid_func4_M_D2.mat		hybrid_func4_M_D2.mat
hybrid_func4_M_D30.mat		hybrid_func4_M_D30.mat
hybrid_func4_M_D50.mat		hybrid_func4_M_D50.mat
hybrid_func4_data.mat		hybrid_func4_data.mat
rastrigin_M_D10.mat		rastrigin_M_D10.mat
rastrigin_M_D2.mat		rastrigin_M_D2.mat
rastrigin_M_D30.mat		rastrigin_M_D30.mat
rastrigin_M_D50.mat		rastrigin_M_D50.mat
rastrigin_func_data.mat		rastrigin_func_data.mat
rosenbrock_func_data.mat		rosenbrock_func_data.mat
schwefel_102_data.mat		schwefel_102_data.mat
schwefel_206_data.mat		schwefel_206_data.mat
schwefel_213_data.mat		schwefel_213_data.mat
sphere_func_data.mat		sphere_func_data.mat
test_data.mat		test_data.mat
weierstrass_M_D10.mat		weierstrass_M_D10.mat
weierstrass_M_D2.mat		weierstrass_M_D2.mat
weierstrass_M_D30.mat		weierstrass_M_D30.mat
weierstrass_M_D50.mat		weierstrass_M_D50.mat
weierstrass_data.mat		weierstrass_data.mat

Repository files navigation

This is a simple Implementation of Evolutionary Computation

GA.m, PSO.m, EDA.m, DE.m contain the algorithms and the RunExperiment1.m is the main file. The RunExperiment1.m will invoke the algorithmsin sequence.

And the other files are the benchmark functions and dataset.
README.txt introduces the benchmarks.