An enhanced genetic algorithm-based multi-objective design optimization strategy

被引：19
|
作者：
Yuan, Rong [1 ,2 ]
Li, Haiqing [3 ]
Wang, Qingyuan [1 ,2 ]
机构：
[1] Chengdu Univ, Sch Mech Engn, Chengdu, Sichuan, Peoples R China
[2] Sichuan Univ, Coll Architecture & Environm, Chengdu, Sichuan, Peoples R China
[3] Univ Elect Sci & Technol China, Sch Mech & Elect Engn, Chengdu, Sichuan, Peoples R China
来源：
ADVANCES IN MECHANICAL ENGINEERING | 2018年 / 10卷 / 07期
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
Enhanced genetic algorithm; ratio of conformity; multi-objective design and optimization; preference chosen; speed increaser; MULTIDISCIPLINARY DESIGN; SYSTEM; PROBABILITY;
D O I：
10.1177/1687814018784836
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
In this study, an enhanced genetic algorithm is proposed to solve multi-objective design and optimization problems in practical engineering. In the given approach, designers choose available design results from the given samples first. These samples are re-ordered according to their mutual relationships. After that, designers choose an exact ratio of conformity as available field. Furthermore, more weight information can be obtained through finding the minimum value of the norm of unconformity and satisfactory samples. These samples can be used to reflect the preference chosen for Pareto design solutions. A structure design problem of speed increaser used in wind turbine generator systems is solved to show the application of the given design strategy.
引用
收藏
页数：6
相关论文
共 50 条
  • [21] Modeling and multi-objective exergy based optimization of a combined cycle power plant using a genetic algorithm
    Kaviri, Abdolsaeid Ganjeh
    Jaafar, Mohammad Nazri Mohd
    Lazim, Tholudin Mat
    ENERGY CONVERSION AND MANAGEMENT, 2012, 58 : 94 - 103
  • [22] Multi-objective Transmission Network Planning Based on Multi-objective Optimization Algorithms
    Wang Xiaoming
    Yan Jubin
    Huang Yan
    Chen Hanlin
    Zhang Xuexia
    Zang Tianlei
    Yu Zixuan
    2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2017,
  • [23] OPTIMIZING HVAC OPERATION IN COMMERCIAL BUILDINGS: A GENETIC ALGORITHM MULTI-OBJECTIVE OPTIMIZATION FRAMEWORK
    Papadopoulos, Sokratis
    Azar, Elie
    2016 WINTER SIMULATION CONFERENCE (WSC), 2016, : 1725 - 1735
  • [24] Multi-Objective Optimization and Experimental Research of Ship Form Based on Improved Bare-Bones Multi-Objective Particle Swarm Optimization Algorithm
    Liu, Jie
    Zhang, Baoji
    Lai, Yuyang
    Fang, Liqiao
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS, 2024, : 267 - 282
  • [25] Powertrain Hybridization and Parameter Optimization Design of a Conventional Fuel Vehicle Based on the Multi-objective Particle Swarm Optimization Algorithm
    Zheng, Qingxing
    Tian, Shaopeng
    Cai, Wen
    SAE INTERNATIONAL JOURNAL OF PASSENGER VEHICLE SYSTEMS, 2022, 15 (03): : 151 - 168
  • [26] Multidisciplinary Design of Electric Vehicles Based on Hierarchical Multi-Objective Optimization
    Ramakrishnan, Kesavan
    Mastinu, Gianpiero
    Gobbi, Massimiliano
    JOURNAL OF MECHANICAL DESIGN, 2019, 141 (09)
  • [27] Multi-objective quasi-reflection learning and weight strategy-based moth flame optimization algorithm
    Sahoo, Saroj Kumar
    Premkumar, M.
    Saha, Apu Kumar
    Houssein, Essam H.
    Wanjari, Saurabh
    Emam, Marwa M.
    NEURAL COMPUTING & APPLICATIONS, 2024, 36 (08) : 4229 - 4261
  • [28] Enhanced Multi-Objective Energy Optimization by a Signaling Method
    Soares, Joao
    Borges, Nuno
    Vale, Zita
    Oliveira, P. B. de Moura
    ENERGIES, 2016, 9 (10):
  • [29] Multi-Objective, Reliability-Based Design Optimization of a Steering Linkage
    Sleesongsom, Suwin
    Bureerat, Sujin
    APPLIED SCIENCES-BASEL, 2020, 10 (17):
  • [30] Improved multi-objective artificial bee colony algorithm-based path planning for mobile robots
    Cui, Qiuyu
    Liu, Pengfei
    Du, Hualong
    Wang, He
    Ma, Xin
    FRONTIERS IN NEUROROBOTICS, 2023, 17
12345