Two Multi-Objective Genetic Algorithms for Finding Optimum Design of an I-beam

作     者：Ali Khazaee Hossein Miar Naimi 

作者机构：Department of Electrical Engineering Islamic Azad University Bojnourd Branch Department of Electrical and Computer Engineering Babol University of Technology 

出 版 物：《Engineering（科研）》 (工程（英文）（1947-3931）)

年 卷 期：2011年第3卷第10期

页      码：1054-1061页

摘      要：Many engineering design problems are characterized by presence of several conflicting objectives. This requires efficient search of the feasible design region for optimal solutions which simultaneously satisfy multiple design objectives. Genetic algorithm optimization (GAO) is a powerful search technique with faster convergence rates than traditional evolutionary algorithms. This paper applies two GAO-based approaches to multi-objective engineering design and finds design variables through the feasible space. To demonstrate the utility of the proposed methods, the multi-objective design of an I-beam will be presented.

主 题 词：Genetic Algorithm Multi-Objective I-Beam Optimization 

学科分类：0711[理学-心理学类] 07[理学] 08[工学] 081101[081101] 0811[工学-水利类] 071102[071102] 081103[081103] 

D　O　I：10.4236/eng.2011.310131

馆 藏 号：203458546...