Title :
Testing a Particle Swarm Optimization and Artificial Bee Colony Hybrid algorithm on the CEC13 benchmarks
Author :
El-Abd, Mohammed
Author_Institution :
Comput. Eng. Dept., American Univ. of Kuwait, Safat, Kuwait
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.
Keywords :
ant colony optimisation; particle swarm optimisation; ABC algorithm; ABC component; CEC13 benchmarks; CEC13 testbed; PSO algorithm; artificial bee colony hybrid algorithm; hybrid particle swarm optimization testing; hybridization technique; Benchmark testing; Complexity theory; Equations; Mathematical model; Optimization; Particle swarm optimization;
Conference_Titel :
Evolutionary Computation (CEC), 2013 IEEE Congress on
Conference_Location :
Cancun
Print_ISBN :
978-1-4799-0453-2
Electronic_ISBN :
978-1-4799-0452-5
DOI :
10.1109/CEC.2013.6557832
