A Hybrid Genetic/Optimization Algorithm for Finite-Horizon, Partially Observed Markov Decision Processes
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[1] E. J. Sondik,et al. The Optimal Control of Partially Observable Markov Decision Processes. , 1971 .
[2] Edward J. Sondik,et al. The Optimal Control of Partially Observable Markov Processes over a Finite Horizon , 1973, Oper. Res..
[3] K. Dejong,et al. An analysis of the behavior of a class of genetic adaptive systems , 1975 .
[4] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[5] G. Monahan. State of the Art—A Survey of Partially Observable Markov Decision Processes: Theory, Models, and Algorithms , 1982 .
[6] Chelsea C. White,et al. Decision Aid Development for Use in Ambulatory Health Care Settings , 1982, Oper. Res..
[7] James N. Eagle. The Optimal Search for a Moving Target When the Search Path Is Constrained , 1984, Oper. Res..
[8] P. Strevens. Iii , 1985 .
[9] D. J. White,et al. Real Applications of Markov Decision Processes , 1985 .
[10] David E. Goldberg,et al. Genetic Algorithms with Sharing for Multimodalfunction Optimization , 1987, ICGA.
[11] Dimitri P. Bertsekas,et al. Dynamic Programming: Deterministic and Stochastic Models , 1987 .
[12] D. J. White,et al. Further Real Applications of Markov Decision Processes , 1988 .
[13] Hsien-Te Cheng,et al. Algorithms for partially observable markov decision processes , 1989 .
[14] Martina Gorges-Schleuter,et al. Explicit Parallelism of Genetic Algorithms through Population Structures , 1990, PPSN.
[15] Chelsea C. White,et al. A survey of solution techniques for the partially observed Markov decision process , 1991, Ann. Oper. Res..
[16] Yuval Davidor,et al. A Naturally Occurring Niche and Species Phenomenon: The Model and First Results , 1991, ICGA.
[17] W. Lovejoy. A survey of algorithmic methods for partially observed Markov decision processes , 1991 .
[18] D. White. Piecewise Linear Approximations for Partially Observable Markov Decision Processes with Finite Horizons , 1992 .
[19] Leslie Pack Kaelbling,et al. Acting Optimally in Partially Observable Stochastic Domains , 1994, AAAI.
[20] James C. Bean,et al. Genetic Algorithms and Random Keys for Sequencing and Optimization , 1994, INFORMS J. Comput..
[21] Martin L. Puterman,et al. Markov Decision Processes: Discrete Stochastic Dynamic Programming , 1994 .
[22] Stephen P. Brooks,et al. Markov Decision Processes. , 1995 .
[23] James C. Bean,et al. Operation scheduling for parallel machine tools , 1995 .
[24] M. Littman,et al. Efficient dynamic-programming updates in partially observable Markov decision processes , 1995 .
[25] Wenju Liu,et al. Planning in Stochastic Domains: Problem Characteristics and Approximation , 1996 .
[26] Samir W. Mahfoud. Niching methods for genetic algorithms , 1996 .
[27] Michael L. Littman,et al. Algorithms for Sequential Decision Making , 1996 .
[28] James C. Bean,et al. A Genetic Algorithm for the Multiple-Choice Integer Program , 1997, Oper. Res..
[29] Michael L. Littman,et al. Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision Processes , 1997, UAI.
[30] A. Cassandra,et al. Exact and approximate algorithms for partially observable markov decision processes , 1998 .
[31] J. C. Bean,et al. A GENETIC ALGORITHM METHODOLOGY FOR COMPLEX SCHEDULING PROBLEMS , 1999 .
[32] Katta G. Murty,et al. A hybrid genetic/optimization algorithm for a task allocation problem , 1999 .