正文
《工程管理前沿(英文)》 >> 2018年 第5卷 第4期 doi: 10.15302/J-FEM-2018044
A discussion of objective function representation methods in global optimization
摘要
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.
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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