Abstract
Particle Swarm Optimisera (PSOs) search using a set of interacting particles flying over the fitness landscape. These are typically controlled by forces that encourage each particle to fly back both towards the best point sampled by it and towards the swarm's best. Here we explore the possibility of evolving optimal force generating equations to control the particles in a PSO using genetic programming. © Springer-Verlag Berlin Heidelberg 2005.
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CITATION STYLE
Poli, R., Langdon, W. B., & Holland, O. (2005). Extending Particle Swarm Optimisation via genetic programming. In Lecture Notes in Computer Science (Vol. 3447, pp. 291–300). Springer Verlag. https://doi.org/10.1007/978-3-540-31989-4_26
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