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» Information theory, evolutionary computation, and Dembski's
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GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
13 years 8 months ago
Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimization
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...
Saúl Zapotecas Martínez, Carlos A. C...
GECCO
2007
Springer
195views Optimization» more  GECCO 2007»
14 years 1 months ago
MILCS: a mutual information learning classifier system
This paper introduces a new variety of learning classifier system (LCS), called MILCS, which utilizes mutual information as fitness feedback. Unlike most LCSs, MILCS is specifical...
Robert Elliott Smith, Max Kun Jiang
FLAIRS
2004
13 years 8 months ago
Multimodal Function Optimization Using Local Ruggedness Information
In multimodal function optimization, niching techniques create diversification within the population, thus encouraging heterogeneous convergence. The key to the effective diversif...
Jian Zhang 0007, Xiaohui Yuan, Bill P. Buckles
PODC
2005
ACM
14 years 18 days ago
Adaptive routing with stale information
We investigate the behaviour of load-adaptive rerouting policies in the Wardrop model where decisions must be made on the basis of stale information. In this model, an infinite n...
Simon Fischer, Berthold Vöcking
BMCBI
2005
137views more  BMCBI 2005»
13 years 7 months ago
A configuration space of homologous proteins conserving mutual information and allowing a phylogeny inference based on pair-wise
Background: Popular methods to reconstruct molecular phylogenies are based on multiple sequence alignments, in which addition or removal of data may change the resulting tree topo...
Olivier Bastien, Philippe Ortet, Sylvaine Roy, Eri...