Population structure and particle swarm performance
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Population structure and particle swarm performance
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
IEEE Transactions on Evolutionary Computation
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The effects of dynamic and partially connected 2-dimensional topologies on the particle swarm are studied. The particles are positioned on 2-dimensional grids of nodes, where they move according to a simple rule. The von Neumann neighborhood is used to decide which particles influence each individual. Structures with growing size are tested on a classical benchmark. The partially connected grids with von Neumann neighborhood structure perform more consistently than other strategies.