An efficient particle swarm approach for mixed-integer programming in reliability–redundancy optimization applications

The reliability–redundancy optimization problems can involve the selection of components with multiple choices and redundancy levels that produce maximum benefits, and are subject to the cost, weight, and volume constraints. Many classical mathematical methods have failed in handling nonconvexities...

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Veröffentlicht in:	Reliability engineering & system safety Jg. 94; H. 4; S. 830 - 837
1. Verfasser:	Coelho, Leandro dos Santos
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.04.2009 Elsevier
Schlagworte:	Applied sciences Evolutionary algorithm Exact sciences and technology Mathematical programming Meta-heuristics Operational research and scientific management Operational research. Management science Particle swarm optimization Reliability theory. Replacement problems Reliability–redundancy optimization PSO-CO PSO-GC Evolutionary algorithm PSO-CA Reliability–redundancy optimization Particle swarm optimization PSO Meta-heuristics Chaos Redundancy Gaussian distribution Mixed integer programming Global solution Reliability-redundancy optimization Vertebrata Social behavior Genetic algorithm Heuristic method Swarm intelligence Aves Reliability Metamodel
ISSN:	0951-8320, 1879-0836
Online-Zugang:	Volltext
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