Optimization and Improvement in Robot-Based Assembly Line System by Hybrid Genetic Algorithm

• Lin Lin

  Waseda University, IPS.

• Gen Mitsuo

  Waseda University, IPS.

• Gao Jie

  Xian Jiaotong University

Abstract

In the real world, there are a lot of scenes from which the product is made by using the robot, which needs different assembly times to perform a given task, because of its capabilities and specialization. For a robotic assembly line balancing (rALB) problem, a set of tasks have to be assigned to stations, and each station needs to select one robot to process the assigned tasks. In this paper, we propose a hybrid genetic algorithm (hGA) for solving this problem. In the hGA, we use new representation method. Advanced genetic operators adapted to the specific chromosome structure and the characteristics of the rALB problem are used. In order to strengthen the search ability, a local search procedure is integrated under the framework the genetic algorithm. Some practical test instances demonstrate the effectiveness and efficiency of the proposed algorithm.

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 128 (3), 424-431, 2008

  The Institute of Electrical Engineers of Japan

Keywords

• balancing
• improvement
• genetic algorithms
• local search
• neighborhood structure
• robotic assembly line

Details

• CRID: 1390282679580920960
• NII Article ID: 10021131721
• NII Book ID: AN10065950
• DOI: 10.1541/ieejeiss.128.424
• ISSN: 13488155
• ISSN: 03854221
• NDL BIB ID: 9401040
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I9401040
• Web Site: https://www.jstage.jst.go.jp/article/ieejeiss/128/3/128_3_424/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed