Comparative analysis between modern heuristics and hybrid algorithms

作者: Francesco Riganti Fulginei , Alessandro Salvini

DOI: 10.1108/03321640710727629

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摘要: Purpose – The purpose of the present paper is to show a comparative analysis classical and modern heuristics such as genetic algorithms, simulated annealing, particle swarm optimization bacterial chemotaxis, when they are applied electrical engineering problems.Design/methodology/approach Hybrid algorithms (HAs) obtained by synergy between previous listed heuristics, with eventual addiction Tabu Search, have also been compared single heuristic performances.Findings Empirically, different sensitivity for initial values has observed changing type heuristics. then performed two kind problems depending on dimension solution space be inspected. All proposed analyses referred corresponding cases: Preisach hysteresis model identification (high space) load‐flow in power systems (low space).Originality/value ori...

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