Journal of the Korean Society for Precision Engineering (한국정밀공학회지)

Korean Society for Precision Engineering (한국정밀공학회)
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Multi-Objective Genetic Algorithm based on Multi-Robot Positions for Scheduling Problems

스케줄링 문제를 위한 멀티로봇 위치 기반 다목적 유전 알고리즘

  • 최종훈 (한양대학교 자동차공학과) ;
  • 김제석 (한양대학교 자동차공학과) ;
  • 정진한 (한양대학교 자동차공학과) ;
  • 김정민 (아주대학교 기계공학과) ;
  • 박장현 (한양대학교 미래자동차공학과)
  • Received : 2014.05.02
  • Accepted : 2014.06.16
  • Published : 2014.08.01
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Abstract

This paper presents a scheduling problem for a high-density robotic workcell using multi-objective genetic algorithm. We propose a new algorithm based on NSGA-II(Non-dominated Sorting Algorithm-II) which is the most popular algorithm to solve multi-objective optimization problems. To solve the problem efficiently, the proposed algorithm divides the problem into two processes: clustering and scheduling. In clustering process, we focus on multi-robot positions because they are fixed in manufacturing system and have a great effect on task distribution. We test the algorithm by changing multi-robot positions and compare it to previous work. Test results shows that the proposed algorithm is effective under various conditions.

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References

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