PICEA-g is a competitive multi/many-objective optimizer. Its performance is better or comparable to the state-of-the-art algorithms such as NSGA-II and MOEA/D on most of test problems. Moreover, it requires no additional parameter but the population size.

PICEAgMATLAB
............\license.txt
............\PICEAgMATLAB
............\............\PICEAgV1.m
............\............\PICEAgV2.m
............\............\README_FIRST.txt
............\............\subfunctions
............\............\............\crtrp.m
............\............\............\find_nd.c
............\............\............\find_nd.m
............\............\............\fitness_PICEAg.m
............\............\............\initGoals.m
............\............\............\l2matrix.c
............\............\............\l2matrix.m
............\............\............\polymut_sal.m
............\............\............\reducer.m
............\............\............\rep.m
............\............\............\sbx_sal.m
............\............\............\trunc_No.m
............\............\............\wfgextend.m

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