Evolving ant colony system for optimizing path planning in mobile robots

Electronics, Robotics and Automotive Mechanics Conference, CERMA 2007 - Proceedings

Volumn , Issue , 2007, Pages 444-449

  Garro, Beatriz A ^a   Sossa, Humberto ^a   Vázquez, Roberto A ^a  

^a INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

ACO ALGORITHMS; ANT COLONY SYSTEM (ACS); AUTOMOTIVE MECHANICS; PATH PLANNING; REAL ENVIRONMENTS; SHORTEST PATH (SP);

AUTOMATION; AUTOMOBILE ELECTRONIC EQUIPMENT; AUTOMOBILE PARTS AND EQUIPMENT; BIOELECTRIC PHENOMENA; BOOLEAN FUNCTIONS; GENETIC ALGORITHMS; OPTIMIZATION; ROBOTICS; SPEED;

ROBOTS;

EID: 47349121551     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CERMA.2007.4367727     Document Type: Conference Paper

References (13)

1. J. M. Holland (2004). Designing Autonomous Mobile Robots, Elsevier, 2004.
2. C.G. Langton (1997). 'Artificial Life", Proceedings of an Interdisciplinary Workshop on the Synthesis and Simulation of Living Things, Los Alamos, New Mexico.
3. G. Beni and J. Wang (1989). "Swarm Intelligence in Cellular Robotic Systems", Proceedings of the NATO Advanced Workshop on Robots and Biological Systems, Il Ciocco, Tuscany, Italy.
4. B. Holldobler and E.O. Wilson (1994). Journey to the Ants, Bellknap Press.
5. M. Dorigo and G. Di Caro (1999). The Ant Colony Optimization Meta-Heuristic, Universite Libre de Bruxelles.
6. V. Maniezzo, A. Colori and M. Dorigo (1998). "The Ant System Applied to the Quadratic Assignmet Problem ", IEEE Trans. Knowledge and Data Engineering, 11(5):769-778.
7. B. Bullnheimer et al. (1998). "Applying the Ant System to the Vehicle routing problem", Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimization, Kluwer Academics.
8. J. Holland (1975). Adaptation in Natural and artificial systems. University of Michigan Press.
9. M. Dorigo and L.M. Ganbardella (1997). "Ant colony system: A cooperative learning approach to the traveling salesman problem", IEEE Transactions on Evolutionary Computation, 1:53-66, 1997.
10. R. Beckers et al. (1990). "Collective decision making through food recruitment", Ins. Soc. 37: 258-267.
11. P. Melin and O. Castillo (2005). "Hibryd Intelligent Systems for patter recognition using soft computing ", Studies in Fuzzines and soft computing 172. Springer.
12. B. A. Garro et al. (2005). "Ant's algorithm applied to path planning problems", Proceedings of ROC&C 2005.
13. H. Choset et al. (2005). Principles of robot motion: theory, algorithms and implementations, MIT Press, Boston.