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» Solving Demodulation as an Optimization Problem
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GECCO
2009
Springer
144views Optimization» more  GECCO 2009»
14 years 4 months ago
Cheating for problem solving: a genetic algorithm with social interactions
We propose a variation of the standard genetic algorithm that incorporates social interaction between the individuals in the population. Our goal is to understand the evolutionary...
Rafael Lahoz-Beltra, Gabriela Ochoa, Uwe Aickelin
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 4 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
CPAIOR
2007
Springer
14 years 4 months ago
Solving a Stochastic Queueing Control Problem with Constraint Programming
In a facility with front room and back room operations, it is useful to switch workers between the rooms in order to cope with changing customer demand. Assuming stochastic custome...
Daria Terekhov, J. Christopher Beck
HEURISTICS
2006
120views more  HEURISTICS 2006»
13 years 10 months ago
A study of ACO capabilities for solving the maximum clique problem
This paper investigates the capabilities of the Ant Colony Optimization (ACO) meta-heuristic for solving the maximum clique problem, the goal of which is to find a largest set of ...
Christine Solnon, Serge Fenet
GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
14 years 3 months ago
On the complexity of hierarchical problem solving
Competent Genetic Algorithms can efficiently address problems in which the linkage between variables is limited to a small order k. Problems with higher order dependencies can onl...
Edwin D. de Jong, Richard A. Watson, Dirk Thierens