A fast dynamical evolutionary algorithm for multi-objective mechanical component design

被引：0

作者：

Liu, MZ ^{[1
]}

Zou, XF ^{[1
]}

Cai, ZH ^{[1
]}

Kang, LS ^{[1
]}

机构：

[1] Wuhan Univ, Coll Comp Sci, Wuhan 430072, Peoples R China

来源：

PROGRESS IN INTELLIGENCE COMPUTATION & APPLICATIONS | 2005年

关键词：

multi-objective optimization; evolutionary algorithm; mechanical component design;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a fast dynamical multi-objective evolutionary algorithm (DMOEA) based on the principle of the minimal free energy in thermodynamics, was developed to solve mechanical component design problems. Its performance was compared with the epsilon-constraint method and NSGA-II proposed by Deb et al. Simulation results show that the proposed evolutionary approach produces excellent solutions for mechanical component design problems.

引用

页码：285 / 289

页数：5

共 19 条

[1] Aarts E., 1989, Wiley-Interscience Series in Discrete Mathematics and Optimization
[2] [Anonymous], 1999, P IEEE C EVOLUTIONAR, DOI DOI 10.1109/CEC.1999.781913
[3] AZARM S, 1999, CD ROM P 25 ASME DES
[4] Bacek, 2003, HDB EVOLUTIONARY COM
[5] CARLOS A, 2002, EVOLUTIONARY ALGORIT
[6] A fast and elitist multiobjective genetic algorithm: NSGA-II
Deb, K
Pratap, A
Agarwal, S
Meyarivan, T
[J]. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (02) : 182 - 197
[7] FONSECA CM, 1993, PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON GENETIC ALGORITHMS, P416
[8] HORN J, 1994, P 1 IEEE C EV COMP, P82, DOI DOI 10.1109/ICEC.1994.350037
[9] Kalyanmoy Deb, 2001, MULTIOBJECTIVE OPTIM, DOI [10.5555/559152, DOI 10.5555/559152]
[10] AN AUGMENTED LAGRANGE MULTIPLIER BASED METHOD FOR MIXED-INTEGER DISCRETE-CONTINUOUS OPTIMIZATION AND ITS APPLICATIONS TO MECHANICAL DESIGN
KANNAN, BK
KRAMER, SN
[J]. JOURNAL OF MECHANICAL DESIGN, 1994, 116 (02) : 405 - 411

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