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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Vydáno v:	Reliability engineering & system safety Ročník 94; číslo 4; s. 830 - 837
Hlavní autor:	Coelho, Leandro dos Santos
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford Elsevier Ltd 01.04.2009 Elsevier
Témata:	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
On-line přístup:	Získat plný text
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