A problem-specific genetic algorithm for path planning of mobile robot in greenhouse

IFIP International Federation for Information Processing

Volumn 207, Issue , 2006, Pages 211-216

  Liu, Xuemei ^a   Yuan, Jin ^a,b   Wang, Kesheng ^c  

^a SHANDONG AGRICULTURAL UNIVERSITY   (China)

^b SHANGHAI UNIVERSITY   (China)

^c NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

Author keywords

Genetic Algorithms; Mobile robot; Path planning

Indexed keywords

GENETIC ALGORITHMS; GREENHOUSES; INVERSE PROBLEMS; MANUFACTURE; MOBILE ROBOTS; PRODUCT DESIGN; ROBOT PROGRAMMING; ROBOTS;

CHROMOSOME ENCODING; CROSSOVER AND MUTATION; FITNESS EVALUATIONS; INVERSE PROPORTIONS; NEAR-OPTIMAL; NOVEL GENETIC ALGORITHM; PATH PLANNING PROBLEMS;

MOTION PLANNING;

EID: 33749325784     PISSN: 15715736     EISSN: None     Source Type: Book Series    
DOI: 10.1007/0-387-34403-9_28     Document Type: Conference Paper

References (4)

1. Sugihara, K. et al. (1997). Genetic Algorithms for Adaptive Motion Planning of an autonomous Mobile Robot, Proceedings of the IEEE international Symposium on Computational Intelligence in Robotics and Automation, pp. 138-146.
2. Gemeinder, M. et al. (2003), GA-based path planning for mobile robot systems employing an active search algorithm. Applied Soft Computing Journal, (3), p149-158.
3. Gihan, N. et al. (2004), Path planning for a mobile robot using genetic algorithms, Proceedings of ICEEC'04, p185-189.
4. Wang, K. (2005), Applied Computational Intelligence to Intelligence Manufacturing Systems, Advanced Knowledge International (ISBN 0-9751004-9-1).