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» Solving Demodulation as an Optimization Problem
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125
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GECCO
2008
Springer
156views Optimization» more  GECCO 2008»
15 years 4 months ago
Computing minimum cuts by randomized search heuristics
We study the minimum s-t-cut problem in graphs with costs on the edges in the context of evolutionary algorithms. Minimum cut problems belong to the class of basic network optimiz...
Frank Neumann, Joachim Reichel, Martin Skutella
AAAI
1998
15 years 4 months ago
Finding Optimal Strategies for Imperfect Information Games
Weexaminethree heuristic algorithms for gameswith imperfect information: Monte-carlo sampling, and two newalgorithms wecall vector minimaxingand payoffreduction minimaxing. Wecomp...
Ian Frank, David A. Basin, Hitoshi Matsubara
AIIA
2009
Springer
15 years 8 months ago
Optimal Planning with ACO
In this paper a planning framework based on Ant Colony Optimization techniques is presented. Optimal planning is a very hard computational problem which has been coped with differe...
Marco Baioletti, Alfredo Milani, Valentina Poggion...
GECCO
2008
Springer
142views Optimization» more  GECCO 2008»
15 years 4 months ago
Complexity of Max-SAT using stochastic algorithms
Hill-climbing has been shown to be more effective than exhaustive search in solving satisfiability problems.Also, it has been used either by itself or in combination with other ...
Mohamed Qasem, Adam Prügel-Bennett
113
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PROCEDIA
2010
85views more  PROCEDIA 2010»
15 years 1 months ago
Toward interactive statistical modeling
When solving machine learning problems, there is currently little automated support for easily experimenting with alternative statistical models or solution strategies. This is be...
Sooraj Bhat, Ashish Agarwal, Alexander Gray, Richa...