상세 보기
초록
In this paper, we present and solve a scheduling problem for a high-density robotic workcell under various working conditions. The genetic algorithm (GA) is employed to optimize tasks for scheduling of the multi-robot system. A new operation method for generating subsequent generations of GA, controlled mutation is introduced depending on the value of the objective function in order to help the algorithm get out of the local minimum. Several simulation graphs verify efficiency of the proposed algorithm.
키워드
High-density robot; Genetic algorithm; Controlled mutation; Local improvement
- 제목
- 선택적 돌연변이 제어를 통한 고밀도 공정로봇의 효율적 용접점 분배
- 제목 (타언어)
- Efficient scheduling problem for Multi-robot system via Controlled mutation of GA
- 저자
- 임성수; 김제석; 박장현; 김정민; 범진환
- 발행일
- 2014-05
- 유형
- Proceeding
- 저널명
- 2014 제29회 ICROS 학술대회
- 페이지
- 374 ~ 375