Perceptive Particle Swarm Optimisation
Conventional particle swarm optimisation relies on exchanging information through social interaction among individuals. However for real-world problems involving control of physical agents (i.e., robot control), such detailed social interaction is not always possible. In this study, we propose the Perceptive Particle Swarm Optimisation algorithm, in which both social interaction and environmental interaction are increased to mimic behaviours of social animals more closely.
KeywordsParticle Swarm Optimisation Search Space Particle Swarm Optimisation Algorithm Swarm Intelligence Inertia Weight
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