2018年 第5卷 第4期
《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
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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.
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