Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
선택적 돌연변이 제어를 통한 고밀도 공정로봇의 효율적 용접점 분배Efficient scheduling problem for Multi-robot system via Controlled mutation of GA
- Other Titles
- Efficient scheduling problem for Multi-robot system via Controlled mutation of GA
- Issue Date
- May-2014
- Publisher
- 제어로봇시스템학회
- Keywords
- High-density robot; Genetic algorithm; Controlled mutation; Local improvement
- Citation
- 2014 제29회 ICROS 학술대회, pp.374 - 375
- Indexed
- OTHER
- Journal Title
- 2014 제29회 ICROS 학술대회
- Start Page
- 374
- End Page
- 375
- Abstract
- 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.
- Files in This Item
- Go to Link
- Appears in
Collections - 서울 공과대학 > 서울 미래자동차공학과 > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Related Researcher
- Park, Jahng Hyon
- COLLEGE OF ENGINEERING (DEPARTMENT OF AUTOMOTIVE ENGINEERING)