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AIPS
1998
15 years 8 months ago
Solving Stochastic Planning Problems with Large State and Action Spaces
Planning methods for deterministic planning problems traditionally exploit factored representations to encode the dynamics of problems in terms of a set of parameters, e.g., the l...
Thomas Dean, Robert Givan, Kee-Eung Kim
MP
2002
165views more  MP 2002»
15 years 6 months ago
A feasible semismooth asymptotically Newton method for mixed complementarity problems
Semismooth Newton methods constitute a major research area for solving mixed complementarity problems (MCPs). Early research on semismooth Newton methods is mainly on infeasible me...
Defeng Sun, Robert S. Womersley, Houduo Qi
WEA
2010
Springer
284views Algorithms» more  WEA 2010»
16 years 1 months ago
Paging Multiple Users in Cellular Network: Yellow Page and Conference Call Problems
Abstract. Mobile users are roaming in a zone of cells in a cellular network system. The probabilities of each user residing in each cell are known, and all probabilities are indepe...
Amotz Bar-Noy, Panagiotis Cheilaris, Yi Feng 0002
SARA
2009
Springer
16 years 1 months ago
Efficient SAT Techniques for Absolute Encoding of Permutation Problems: Application to Hamiltonian Cycles
We study novel approaches for solving of hard combinatorial problems by translation to Boolean Satisfiability (SAT). Our focus is on combinatorial problems that can be represented...
Miroslav N. Velev, Ping Gao 0002
GECCO
2006
Springer
201views Optimization» more  GECCO 2006»
15 years 10 months ago
Selective self-adaptive approach to ant system for solving unit commitment problem
This paper presents a novel approach to solve the constrained unit commitment problem using Selective Self-Adaptive Ant System (SSAS) for improving search performance by automatic...
Songsak Chusanapiputt, Dulyatat Nualhong, Sujate J...