Generalized Self-Adapting Particle Swarm Optimization algorithm with archive of samples
Michał Okulewicz,
Mateusz Zaborski,
Jacek Mańdziuk
Abstract:In this paper we enhance Generalized Self-Adapting Particle Swarm Optimization algorithm (GAPSO), initially introduced at the Parallel Problem Solving from Nature 2018 conference, and to investigate its properties. The research on GAPSO is underlined by the two following assumptions: (1) it is possible to achieve good performance of an optimization algorithm through utilization of all of the gathered samples, (2) the best performance can be accomplished by means of a combination of specialized sampling behavio… Show more
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