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改进入工蜂群算法及其在工程设计中的应用

李波 宋婧媛 张邦成

吉林大学学报(信息科学版)2023,Vol.41Issue(5):810-819,10.
吉林大学学报(信息科学版)2023,Vol.41Issue(5):810-819,10.

改进入工蜂群算法及其在工程设计中的应用

Research on Artificial Bee Colony Algorithm and Application in Engineering Design

李波 1宋婧媛 2张邦成3

作者信息

  • 1. 长春工程学院计算机技术与工程学院,长春 130012
  • 2. 长春工程学院吉林应急管理学院,长春 130012
  • 3. 长春工程学院机电工程学院,长春 130012
  • 折叠

摘要

Abstract

The Artificial Bee Colony algorithm(ABC:Artificial Bee Colony)suffers from the problems of difficult convergence and difficulty in maintaining the diversity of candidate solutions.In order to solve the Multi-Objective Optimization Problem(MOP:Multi-Objective Problem)the solution strategy of each part is improved.Based on the ABC algorithm framework,a multi-objective ABC algorithm based on an adaptive solution strategy is designed to compare the performance of the improved multi-objective ABC with other typical swarm intelligence algorithms in the practical application of engineering design problem of electromechanical actuator design.The experimental verification shows that the proposed MOABC/DD(Multi-Objective Artificial Bee Colony Based on Dominance and Decomposition)algorithm has better problem solving accuracy compared with typical algorithms in solving the benchmark test case of electromechanical actuator design problem.The experimental results of MOABC/DD are more stable,thus proving that MOABC/DD has high solution stability and robustness.

关键词

多目标优化问题/人工蜂群算法/群智能算法

Key words

multi-objective problem(MOP)/artificial bee colony(ABC)/swarm intelligence algorithms

分类

信息技术与安全科学

引用本文复制引用

李波,宋婧媛,张邦成..改进入工蜂群算法及其在工程设计中的应用[J].吉林大学学报(信息科学版),2023,41(5):810-819,10.

基金项目

吉林省教育厅科学研究基金资助项目(JJKH20230713KJ) (JJKH20230713KJ)

吉林大学学报(信息科学版)

OACSTPCD

1671-5896

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