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다목적 유전 알고리즘 기반 고밀도 로봇군의 최적 경로 탐색Optimal Path Finding based on NSGA-Ⅱ For High-density Robot Environments

Other Titles
Optimal Path Finding based on NSGA-Ⅱ For High-density Robot Environments
Authors
신승호김제석박장현김정민범진환
Issue Date
May-2014
Publisher
제어로봇시스템학회
Keywords
NSGA-II; Optimized schedule; High-density Robot; MTSP
Citation
2014 제29회 ICROS 학술대회, pp.376 - 377
Indexed
OTHER
Journal Title
2014 제29회 ICROS 학술대회
Start Page
376
End Page
377
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/159903
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.
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서울 공과대학 > 서울 미래자동차공학과 > 1. Journal Articles

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