An example of the best location and along the current speed and direction of inertia neighbors are used to determine the next example of the seat. Introduction to multi-objective optimization algorithm particle swarm follows

PSO-MATLAB\CreateEmptyParticle.m
..........\CreateHypercubes.m
..........\DeleteFromRep.m
..........\DetermineDomination.m
..........\Dominates.m
..........\GetCosts.m
..........\GetGridIndex.m
..........\GetNonDominatedParticles.m
..........\GetOccupiedCells.m
..........\MOPSO.m
..........\MopsoProcess.m
..........\MyCost1.m
..........\MyCost2.m
..........\MyCost3.m
..........\RouletteWheelSelection.m
..........\SelectLeader.m
PSO-MATLAB

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