Seiichi Koakutsu

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abstract We propose a new optimization method, named genetic simulated anneal-ing (GSA), which combines the local stochastic hill climbing features from simulated annealing (SA) and the global crossover operations from genetic algorithm (GA). We demonstrated the advantages of GSA by solving one of the most diicult problems in layout | the non-slicing(More)
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