More comprehensive and systematic introduction to the principles and methods of Firefly algorithm, and gives a more generic code mode, the firefly algorithm can find the most comprehensive introduction.

SwarmFireFly1001\SGA_FITNESS_function.m
................\SwarmFF_demo_SO_std.m
................\SwarmFF_I_absorption_coeffcient.txt
................\SwarmFF_I_max_confines.txt
................\SwarmFF_I_max_generation.txt
................\SwarmFF_I_min_confines.txt
................\SwarmFF_I_population.txt
................\SwarmFF_I_randomness.txt
................\SwarmFF_I_randomness_reduction.txt
................\SwarmFF_I_testnumber.txt
................\SwarmFF_O_bestfitness.txt
................\SwarmFF_O_best_result_space.txt
................\SwarmFF_O_fitness_mAP.mat
................\SwarmFF_O_fitness_MAX.mat
................\SwarmFF_O_fitness_MEAN.mat
................\SwarmFF_O_fitness_MIN.mat
................\SwarmFF_O_fitness_mmAP.mat
................\SwarmFF_O_fitness_mmSTD.mat
................\SwarmFF_O_fitness_mSTD.mat
................\SwarmFF_O_maxfitness.txt
................\SwarmFF_O_meanfitness.txt
................\SwarmFF_O_minfitness.txt
................\SwarmFF_O_result_space.mat
................\SxLAB_test_sincoshat_replot.eps
................\SxLAB_test_sincoshat_replot.fig
................\SxLAB_test_sincoshat_replot.jpg
SwarmFireFly1001

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