Testing a Particle Swarm Optimization and Artificial Bee Colony Hybrid algorithm on the CEC13 benchmarks

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Abstract

In this paper we test a hybrid Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) algorithm on the CEC13 testbed. The hybridization technique is a component-based one, where the PSO algorithm is augmented with an ABC component to improve the personal bests of the particles.

Original languageEnglish
Title of host publication2013 IEEE Congress on Evolutionary Computation, CEC 2013
Pages2215-2220
Number of pages6
DOIs
StatePublished - 2013
Event2013 IEEE Congress on Evolutionary Computation, CEC 2013 - Cancun, Mexico
Duration: 20 Jun 201323 Jun 2013

Publication series

Name2013 IEEE Congress on Evolutionary Computation, CEC 2013

Conference

Conference2013 IEEE Congress on Evolutionary Computation, CEC 2013
Country/TerritoryMexico
CityCancun
Period20/06/1323/06/13

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