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118
Voted
JMLR
2010
14 years 9 months ago
2010
We study the problem of learning an optimal Bayesian network in a constrained search space; skeletons are compelled to be subgraphs of a given undirected graph called the super-st...
122
Voted
ATAL
2006
Springer
15 years 6 months ago
2006
Springer
Developing scalable algorithms for solving partially observable Markov decision processes (POMDPs) is an important challenge. One promising approach is based on representing POMDP...
217
Voted
WIRN
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. This paper presents an Artificial Immune-based optimization technique for solving the economic dispatch problem in a power system. The main role of electrical power utili...
135
Voted
GECCO
2007
Springer
15 years 8 months ago
2007
Springer
Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
151
Voted
IICAI
2003
15 years 4 months ago
2003
Minimum vertex cover problem (MVCP) is an NP-hard problem and it has numerous real life applications. This paper presents hybrid genetic algorithm (HGA) to solve MVCP efficiently. ...