A hybrid group leader algorithm for green material selection with energy consideration in product design

被引：52

作者：

Tao, F. ^{[1
]}

Bi, L. N. ^{[1
]}

Zuo, Y. ^{[1
]}

Nee, A. Y. C. ^{[2
]}

机构：

[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China

[2] Natl Univ Singapore, Dept Mech Engn, Singapore, Singapore

来源：

CIRP ANNALS-MANUFACTURING TECHNOLOGY | 2016年 / 65卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Energy; Algorithm; Product material selection; GENETIC ALGORITHM;

D O I：

10.1016/j.cirp.2016.04.086

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Green material selection with energy-consideration (GMS-EC) in product design is a key issue for realizing green and sustainable manufacturing. In this paper, a comprehensive optimization model for GMS-EC is established. A hybrid optimizing method named chaos quantum group leader algorithm (CQGLA) is designed to obtain the optimal energy-consumption solution in designing products with various complexity. Compared with genetic algorithm (GA), group leader algorithm (GLA) and artificial bee colony algorithm (ABCA), it is observed that CQGLA can perform better in terms of speed, search capability and solution quality. (C) 2016 CIRP.

引用

页码：9 / 12

页数：4

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