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Publication Detail
Kernel methods for PSOs
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  • Authors:
    Langdon WB, Poli R, Stephens CR
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  • Notes:
    keywords: genetic algorithms, genetic programming, Particle Swarm Optimisation, Hill Climbing size: 7 pages
We report initial experiments on evolving kernel functions which describe the average behaviour of a swarm of particles as if it was responding as a single point moving on a landscape transformed by the kernel. Such kernels may help explain swarm and population approaches leading to extended population systems, XPS. The swarm of particles are from a simple particle swarm optimiser solving one dimensional multi-modal 3 peaks and Rastrigin problems. The standard Java genetic programming implementation TinyGP is used.
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