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다목적 유전 알고리즘 기반 고밀도 로봇군의 최적 경로 탐색

Title
다목적 유전 알고리즘 기반 고밀도 로봇군의 최적 경로 탐색
Other Titles
Optimal Path Finding based on NSGA-Ⅱ For High-density Robot Environments
Author
박장현
Keywords
NSGA-Ⅱ; Optimized schedule; High-density Robot; MTSP
Issue Date
2014-05
Publisher
제어로봇시스템학회 / Institute of Control, Robotics and Systems
Citation
2014 제29회 ICROS 학술대회, 2014, 2014(5), P.376-377
Abstract
This paper approaches a scheduling problem of multi-robots motions that aims for optimized schedule in limited area, from an expanded MTSP. We make the best way of genetic algorithm as we call NSGA-Ⅱ(Non-dominated Sorting Algorithm), by adding multi objects and evaluating each chromosome. We simulate motion of six robots with the optimized schedule and show effectiveness of the proposed NSGA-Ⅱ.
URI
http://www.dbpia.co.kr/Article/NODE02434839http://hdl.handle.net/20.500.11754/54467
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > AUTOMOTIVE ENGINEERING(미래자동차공학과) > Articles
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