Multiobjective extremal optimization with applications to engineering design

作     者：CHEN Min-rong LU Yong-zai YANG Gen-ke 

作者机构：Department of Automation Shanghai Jiao Tong University Shanghai 200240. China College of information Science and Technology Jinan Universitly Guangzhou 510632 China College of Automation Science and Engineering. South China University of Technology Guangzhou 510641 China 

基　　金：Project (No.60574063) the National Natural Science Foundation of China 

出 版 物：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 (浙江大学学报（英文版）A辑（应用物理与工程）)

年 卷 期：2007年第8卷第12期

页      码：1905-1911页

摘      要：In this paper, we extend a novel unconstrained multiobjective optimization algorithm, so-called multiobjective extremal optimization (MOEO), to solve the constrained multiobjective optimization problems (MOPs). The proposed approach is validated by three constrained benchmark problems and successfully applied to handling three multiobjective engineering design problems reported in literature. Simulation results indicate that the proposed approach is highly competitive with three state-of-the-art multiobjective evolutionary algorithms, i.e., NSGA-II, SPEA2 and PAES. Thus MOEO can be considered a good alternative to solve constrained multiobjective optimization problems.

主 题 词：最佳化 人工智能 工程设计 极值曲线 

学科分类：0810[工学-土木类] 12[管理学] 1201[管理学-管理科学与工程类] 081104[081104] 08[工学] 0805[工学-能源动力学] 0835[0835] 0811[工学-水利类] 0812[工学-测绘类] 

核心收录：

D　O　I：10.1631/jzus.2007.A1905

馆 藏 号：203809436...