Development of a multi-objective genetic algorithm for MDO problem

被引：0
|
作者：
Yao, Yifeng [1 ,2 ]
Yan, Pu [1 ,2 ]
Liu, Dayou [1 ,2 ]
机构：
[1] College of Computer Science and Technology, Jilin University, Changchun 130012, China
[2] Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China
来源：
Journal of Information and Computational Science | 2013年 / 10卷 / 06期
关键词：
Design aids - Problem solving - Local search (optimization) - Pareto principle - Wings;
D O I：
10.12733/jics20101661
中图分类号：
学科分类号：
摘要：
Engineering systems have become quite complicated in recent days. The requirements of design are complex and it is hard to meet them by considering only one discipline. In this paper, we suggest a hybrid Multi-objective Genetic Algorithm (MOGA) for a Multidisciplinary Design Optimization (MDO) model in engineering design. In order to get Pareto optimal solutions, we use local search to enhance the efficiency and effectiveness. We solve a problem of airplane wings optimization using MOGA. After compared with other MDO algorithms, we find the result shows that the proposed algorithm's performance has an advantage over previous work for these MDO problems. As the algorithm is evaluated based on practical data, we show that the approach can be used to solve MDO problems in the real world. Copyright © 2013 Binary Information Press.
引用
收藏
页码：1603 / 1612
相关论文
共 50 条
  • [21] Multi-objective Emergency Facility Location Problem Based on Genetic Algorithm
    Zhao, Dan
    Zhao, Yunsheng
    Li, Zhenhua
    Chen, Jin
    COMPUTATIONAL INTELLIGENCE AND INTELLIGENT SYSTEMS, 2009, 51 : 97 - +
  • [22] A Hybrid Cellular Genetic Algorithm for Multi-objective Crew Scheduling Problem
    Jolai, Fariborz
    Assadipour, Ghazal
    HYBRID ARTIFICIAL INTELLIGENCE SYSTEMS, PT 1, 2010, 6076 : 359 - 367
  • [23] Genetic Algorithm Based Solution of Fuzzy Multi-Objective Transportation Problem
    Sosa, Jaydeepkumar M.
    Dhodiya, Jayesh M.
    INTERNATIONAL JOURNAL OF MATHEMATICAL ENGINEERING AND MANAGEMENT SCIENCES, 2020, 5 (06) : 1452 - 1467
  • [24] Improved genetic algorithm for multi-objective reactive power dispatch problem
    Devaraj, D.
    EUROPEAN TRANSACTIONS ON ELECTRICAL POWER, 2007, 17 (06): : 569 - 581
  • [25] On the Application of a Multi-Objective Genetic Algorithm to the LORA-Spares Problem
    Cranshaw, Derek
    Pall, Raman
    Wesolkowski, Slawomir
    OPERATIONS RESEARCH PROCEEDINGS 2012, 2014, : 509 - 514
  • [26] Application of Genetic Algorithm on Multi-objective Email Marketing Delivery Problem
    Zhang, Lei
    He, Jun
    Yan, Zhenyu
    Dai, Wuyang
    Pani, Abhishek
    MARKETING AND SMART TECHNOLOGIES, ICMARKTECH 2019, 2020, 167 : 309 - 320
  • [27] Application of a multi-objective genetic algorithm to solve reliability optimization problem
    Kishor, Amar
    Yadav, Shiv Prasad
    Kumar, Surendra
    ICCIMA 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, VOL I, PROCEEDINGS, 2007, : 458 - +
  • [28] Multi-objective genetic algorithm for inverse kinematics problem of redundant manipulator
    Shen, Xiao-Ning
    Li, Sheng
    Guo, Yu
    Chen, Qing-Wei
    Hu, Wei-Li
    2008, Acta Simulata Systematica Sinica, Beijing, 100854, China (20):
  • [29] Multi-objective Genetic Algorithm for Solving Routing and Spectrum Assignment Problem
    Dao Thanh Hai
    2017 SEVENTH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST2017), 2017, : 177 - 180
  • [30] A Genetic Cloud-model Algorithm to the Multi-objective Optimization Problem
    Li, Chunjie
    Chen, Tao
    Dong, Jun
    2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 7760 - 7763
12345