ACOPlan: Planning with ants

Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22

Volumn , Issue , 2009, Pages 183-188

  Baioletti, Marco ^a   Milani, Aifredo ^a   Poggioni, Valentina ^a   Rossi, Fablo ^a  

^a UNIVERSITY OF PERUGIA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ANT-COLONY OPTIMIZATION; APPROXIMATE METHODS; EMPIRICAL EVALUATIONS; HARD COMPUTATIONAL PROBLEM; METAHEURISTIC; OPTIMAL PLANNING; OPTIMAL SOLUTIONS; OPTIMALITY; PLANNING PROBLEM; STOCHASTIC METHODS;

COMBINATORIAL OPTIMIZATION; HEURISTIC METHODS;

ARTIFICIAL INTELLIGENCE;

EID: 70350518877     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

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5. Dorigo, M., and Blum, C. 2005. Ant colony optimization theory: a survey. Theor. Comput. Sci. 344(2-3):243-278.
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10. Hoffmann, J., and Nebel, B. 2001. The FF planning system: Fast plan generation through heuristic search. Journal of Artificial Intelligence Research 14:253 - 302.
11. Kautz, H., and Selman, B. 1999. Unifying sat-based and graph-based planning. In Proceedings of IJCAI-99, Stockholm.
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