Abstract
We investigate the technique of genetic algorithms to solve the class of STRIPS planning problems in Artificial Intelligence. We define a genetic algorithm called AgPlan and we compare it with some recent planners.
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References
Fikes, R., Nilsson, N.: STRIPS: A new approach to the application of theorem proving to problem solving. Journal of Artificial Intelligence 2 (1971)
Bylander, T.: The computational complexity of propositional STRIPS planning. Artificial Intelligence 69, 165–205 (1994)
Kautz, H., Selman, B.: Planning as satisfiability. In: Proc. 10th Eur. Conf. AI, Vienna, Austria, pp. 359–363. Wiley, Chichester (1992)
Blum, A., Furst, M.: Fast planning through planning graph analysis. In: Proceedings of IJCAI 1995, Montreal, pp. 1636–1642 (1995)
Vossen, T., Ball, M., Lotem, A., Nau, D.: On the use of integer programming models in ai planning. In: Proceedings of the IJCAI 1999, pp. 304–309 (1999)
Beek, P., Chen, X.: CPlan: A constraint programming approach to planning. In: Proc. of the Sixteenth National Conference on AI (AAAI 1999), pp. 585–590 (1999)
Silva, F., Castilho, M., Künzle, L.: Petriplan: a new algorithm for plan generation (preliminary report). In: Proc. of IBERAMIA/SBIA-2000, pp. 86–95. Springer, Heidelberg (2000)
Lin, F.: A planner called r. In: AIPS-2000 Planning Competition (2000)
Bonet, B., Geffner, H.: HSP: Planning as heuristic search. In: Entry at the AIPS 1998 Planning Competition, Pittsburgh (1998)
Hoffmann, J., Nebel, B.: The FF planning system: Fast plan generation through heuristic search. In: AIPS Planning Competition (2000)
Goldberg, D.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, Reading (1989)
Westerberg, C., Levine, J.: Combining genetic programming and planning. In: Proceedings for the UK Planning and Scheduling Special Interest Group, Milton Keynes UK (2000)
Muslea, I.: SINERGY: A linear planner based on genetic programming. In: Steel, S. (ed.) ECP 1997. LNCS, vol. 1348, pp. 314–326. Springer, Heidelberg (1997)
Geffner, H.: Perspectives on artificial intelligence planning. In: Proc. 18th Nat (US) Conference on AI (2002), pp. 1013–1023 (2002)
McDermott, D.: PDDL - The Planning Domain Definition Language (1998), http://ftp.cs.yale.edu/pub/mcdermott
Lecheta, E.M.: Algoritmos genticos para planejamento em inteligncia artificial. Master’s thesis, Dinf-UFPR (2004)
Koehler, J.: IPP home page (1997)
Kautz, H., Selman, B.: Unifying sat-based and graph-based planning. In: Proceedings of IJCAI, Stockholm, Sweden, pp. 318–325. Morgan Kaufmann, San Francisco (1999)
McDermott, D.: AIPS-98 Planning Competition Results (1998), http://ftp.cs.yale.edu/pub/mcdermott/aipscomp-results.html
Aips-2000 planning competition (2000)
Benke, D., Brand, V., Lima, S.: Uma avaliao de desempenho de planejadores. Technical report, Departamento de Informtica - UFPR, Curitiba, Brasil (2003)
Long, D., Fox, M.: Automatic synthesis and use of generic types in planning. In: Artificial Intelligence Planning Systems, pp. 196–205 (2000)
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Castilho, M., Kunzle, L.A., Lecheta, E., Palodeto, V., Silva, F. (2004). An Investigation on Genetic Algorithms for Generic STRIPS Planning. In: Lemaître, C., Reyes, C.A., González, J.A. (eds) Advances in Artificial Intelligence – IBERAMIA 2004. IBERAMIA 2004. Lecture Notes in Computer Science(), vol 3315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30498-2_19
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DOI: https://doi.org/10.1007/978-3-540-30498-2_19
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