期刊
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
卷 20, 期 7, 页码 637-650出版社
WILEY
DOI: 10.1002/qre.573
关键词
design of experiments; genetic algorithm; heuristic optimization
Hybrid heuristic optimization methods can discover efficient experiment designs in situations where traditional designs cannot be applied, exchange methods are ineffective, and simple heuristics like simulated annealing fail to find good solutions. One such heuristic hybrid is GASA (genetic algorithm-simulated annealing), developed to take advantage of the exploratory power of the genetic algorithm, while utilizing the local optimum exploitive properties of simulated annealing. The successful application of this method is demonstrated in a difficult design problem with multiple optimization criteria in an irregularly shaped design region. Copyright (C) 2004 John Wiley Sons, Ltd.
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