An effective global harmony search algorithm for reliability problems
| Autor: | Dexuan Zou, Jianhua Wu, Steven Li, Liqun Gao |
|---|---|
| Přispěvatelé: | Zou, Dexuan, Gao, Liqun, Li, Steven, Wu, Jianhua |
| Rok vydání: | 2011 |
| Předmět: |
Mathematical optimization
convergence Meta-optimization Optimization problem Probabilistic-based design optimization General Engineering particle swarm optimization algorithm Imperialist competitive algorithm Multi-objective optimization Min-conflicts algorithm reliability problems Computer Science Applications effective global harmony search algorithm Artificial Intelligence Multi-swarm optimization Metaheuristic harmony search algorithm Mathematics |
| Zdroj: | Expert Systems with Applications. 38:4642-4648 |
| ISSN: | 0957-4174 |
| DOI: | 10.1016/j.eswa.2010.09.120 |
| Popis: | This paper proposes an effective global harmony search algorithm (EGHS) to solve two kinds of reliability problems: the complex (bridge) system optimization problem and the reliability-redundancy optimization problem of the overspeed protection system for a gas turbine. In general, the two problems are formulated as mixed-integer nonlinear programming problems with several constraints. The EGHS combines harmony search algorithm (HS) with concepts from the swarm intelligence of particle swarm optimization algorithm (PSO) to solve optimization problems. The proposed algorithm has been applied to two typical problems with results better than previously reported. The results have demonstrated that the EGHS has strong convergence and capacity of space exploration on solving reliability optimization problems. Refereed/Peer-reviewed |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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