文档+程序 两种具有多个测试函数选项的多（双）目标算法.zip

# MOPSO_MicroGA Authors : Esmé James & Wilfried Pouchous ## Description Two multi-objective genetic algorithm containing user inputs for: * Genetic Algorithm parameters (Population size, Archive size, crossover and mutation probabilities, Max number of generations, Population memory size, number of iterations until nominal convergence, ...) * A choice between 6 test functions (FON, POL, KUR, ZDT1, ZDT2, ZDT3) The pareto front is plotted on a graph at each iteration, and the number of members in the front is printed. Results are discussed in the report. ## File organisation The two algorithms are contained in separate folders, each containing the steps of the algorithm (initialisation, evaluation, selection, ...). The program is launched by executing the main.m file. A folder called "Problemes" contains the functions to test the algorithm.