Multi-objective particle swarm optimization, evolutionary algorithm is a population-based, each iteration produces a set of non-dominated solutions, through appropriate extension may be adapted to solving multi-objective optimization problem.

CreateEmptyParticle.m
CreateHypercubes.m
DeleteFromRep.m
DetermineDomination.m
Dominates.m
GetCosts.m
GetGridIndex.m
GetNonDominatedParticles.m
GetOccupiedCells.m
mopso.m
MyCost1.m
MyCost2.m
MyCost3.m
RouletteWheelSelection.m
SelectLeader.m

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