An Effective Application of Bacteria Quorum Sensing and Circular Elimination in MOPSO.
IEEE/ACM Trans Comput Biol Bioinform
; 14(1): 56-63, 2017.
Article
em En
| MEDLINE
| ID: mdl-28182543
ABSTRACT
In this paper, an approach that incorporates a turbulence mechanism and a circular elimination strategy is presented to strengthen the performance of multi-objective particle swarm optimization (MOPSO). For convergence enhancement, the turbulence mechanism derived from bacteria quorum sensing behavior is introduced to MOPSO to preserve the swarm diversity. Meanwhile, the circular elimination strategy is used to select particles for next iteration for better distribution of the Pareto-optimal solutions. The improved MOPSO algorithm has been tested on a set of benchmark functions and compared with representative multi-objective optimization algorithms. Simulation results illustrate that the algorithm outperforms the other algorithms on convergence while keep good spread performance, and could be used as an effective global optimization tool.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Modelos Estatísticos
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Fenômenos Fisiológicos Bacterianos
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Biomimética
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Percepção de Quorum
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Interações Microbianas
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Modelos Biológicos
Tipo de estudo:
Risk_factors_studies
Idioma:
En
Revista:
ACM Trans Comput Biol Bioinform
Assunto da revista:
BIOLOGIA
/
INFORMATICA MEDICA
Ano de publicação:
2017
Tipo de documento:
Article