SOP: parallel surrogate global optimization with Pareto center selection for computationally expensive single objective problems
نویسندگان
چکیده
منابع مشابه
SOP: parallel surrogate global optimization with Pareto center selection for computationally expensive single objective problems
This paper presents a parallel surrogate-based global optimization method for computationally expensive objective functions that is more effective for larger numbers of processors. To reach this goal, we integrated concepts from multi-objective optimization and tabu search into, single objective, surrogate optimization. Our proposed derivative-free algorithm, called SOP, uses non-dominated sort...
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ژورنال
عنوان ژورنال: Journal of Global Optimization
سال: 2016
ISSN: 0925-5001,1573-2916
DOI: 10.1007/s10898-016-0407-7