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A discussion of objective function representation methods in global optimization
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作者 Panos M.PARDALOS Mahdi FATHI 《Frontiers of Engineering Management》 2018年第4期515-523,共9页
Non-convex optimization can be found in several smart manufacturing systems. This paper presents a short review on global optimization(GO) methods. We examine decomposition techniques and classify GO problems on the b... Non-convex optimization can be found in several smart manufacturing systems. This paper presents a short review on global optimization(GO) methods. We examine decomposition techniques and classify GO problems on the basis of objective function representation and decomposition techniques. We then explain Kolmogorov's superposition and its application in GO. Finally,we conclude the paper by exploring the importance of objective function representation in integrated artificial intelligence, optimization, and decision support systems in smart manufacturing and Industry 4.0. 展开更多
关键词 global optimization DECOMPOSITION techniques MULTI-OBJECTIVE DC PROGRAMMING Kolmogorov’s SUPERPOSITION space-filling CURVE smart manufacturing and Industry 4.0
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