Swarm intelligence
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
Neighborhood topologies in fully informed and best-of-neighborhood particle swarms
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
The fully informed particle swarm: simpler, maybe better
IEEE Transactions on Evolutionary Computation
The non-clique particle swarm optimizer
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
An exploration of topologies and communication in large particle swarms
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Frankenstein's PSO: a composite particle swarm optimization algorithm
IEEE Transactions on Evolutionary Computation
Particle swarm optimizer with self-adjusting neighborhoods
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Particle swarm optimisation with gradually increasing directed neighbourhoods
Proceedings of the 13th annual conference on Genetic and evolutionary computation
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The interaction among particles is a vital aspect of Particle Swarm Optimization. As such, it has a strong influence on the swarm's success. In this study various approaches regarding the particles' communication behavior and their relationship are examined, as well as possibilities to combine the approaches. A new variant of the popular FIPS algorithm, the so-called Ranked FIPS, is introduced, which resolves specific shortcomings of the traditional FIPS. As all tested PSO variants feature distinct strengths and weaknesses, a new adaptive strategy is proposed which operates on dissimiliarly configured subswarms. The exchange between these subswarms is solely based on particle migration. The combination of the Ranked FIPS and other strategies within the so called Particle Swarm Optimizer with Migration achieves a very good, yet remarkably reliable performance over a wide range of recognized benchmark problems.