Geometric Particle Swarm Optimisation

نویسندگان

  • Alberto Moraglio
  • Cecilia Di Chio
  • Riccardo Poli
چکیده

Using a geometric framework for the interpretation of crossover of recent introduction, we show an intimate connection between particle swarm optimization (PSO) and evolutionary algorithms. This connection enables us to generalize PSO to virtually any solution representation in a natural and straightforward way. We demonstrate this for the cases of Euclidean, Manhattan and Hamming spaces.

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تاریخ انتشار 2007