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BIBTEX RIS

ABC+ES: Combining Artificial Bee Colony Algorithm and Evolution Strategies on Engineering Design Problems and Benchmark Functions

2015; Springer Nature; Linguagem: Inglês

10.1007/978-3-319-27221-4_5

ISSN

2194-5357

Autores

Marco Antônio Florenzano Mollinetti, Daniel Leal Souza, Rodrigo Lisbôa Pereira, Edson Koiti Kudo Yasojima, Otávio Noura Teixeira,

Tópico(s)

Evolutionary Algorithms and Applications

Resumo

The following paper introduces a hybrid algorithm that combines Artificial Bee Colony Algorithm (ABC) and a model of Evolution Strategies (ES) found in the Evolutionary Particle Swarm Optimization (EPSO), another hybrid metaheuristic. The goal of this approach is to incorporate the effectiveness and simplicity of the ABC with the thorough local search mechanism of the Evolution Strategies in order to devise an algorithm that is able to achieve better optimality in less time than the original ABC applied to function optimization problems. With the intention of assessing this novel algorithm performance and reliability, several unconstrained benchmark functions as well as four large-scale constrained optimization-engineering problems (WBD, DPV, SRD-11 and MWTCS) act as an evaluation environment. The results obtained by the ABC+ES are compared to original ABC and several other optimization techniques.

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