Ant search strategies for planning optimization

ICAPS 2009 - Proceedings of the 19th International Conference on Automated Planning and Scheduling

Volumn , Issue , 2009, Pages 334-337

  Baioletti, M ^a   Milani, A ^a   Poggioni, V ^a   Rossi, F ^a  

^a UNIVERSITY OF PERUGIA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ANT-COLONY OPTIMIZATION; HARD COMPUTATIONAL PROBLEM; OPTIMAL SOLUTIONS; OPTIMALITY; PHEROMONE MODELS; PLANNING FRAMEWORK; PLANNING PROBLEM; SEARCH STRATEGIES; SEQUENTIAL OPTIMIZATION; STATE SPACE; STOCHASTIC METHODS;

SCHEDULING;

OPTIMIZATION;

EID: 78650591009     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Baioletti, M.; Milani, A.; Poggioni, V.; and Rossi, F. 2009. An aco approach to planning. In In Proc of the 9th European Conference on Evolutionary Computation in Combinatorial Optimisation, EVOCOP 2009.
2. Bullnheimer, B.; Hartl, R. F.; and Strauss, C. 1999. A new rank based version of the ant system - a computational study. Central European Journal for Operations Research and Economics 7:25-38.
3. Dorigo, M., and Gambardella, L. M. 1997. Ant colony system: A cooperative learning approach to the traveling salesman problem. IEEE Transactions on Evolutionary Computation 1(1):53-66.
4. Dorigo, M., and Stuetzle, T. 2004. Ant Colony Optimization. Cambridge, MA, USA: MIT Press,.
5. Gerevini, A., and Serina, I. 2002. Lpg: a planner based on local search for planning graphs. In Proceedings of the Sixth International Conference on Artificial Intelligence Planning and Scheduling (AIPS'02), AAAI Press, Toulouse, France.
6. Haslum, P.; Bonet, B.; and Geffner, H. 2005. New admissible heuristics for domain-independent planning. In Proc. of AAAI 2005), 1163-1168.
7. Helmert, M.; Do, M.; and Refanidis, I. 2008. International planning competition ipc-2008, the deterministic part. http://ipc.icaps-conference.org/.
8. Hoffmann, J., and Nebel, B. 2001. The ff planning system: Fast plan generation through heuristic search. Journal of Artificial Intelligence Research 14:253-302. (Pubitemid 33738066)