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GECCO
2007
Springer
14 years 2 months ago
2007
Springer
Adaptive Memetic Algorithms couple an evolutionary algorithm with a number of local search heuristics for improving the evolving solutions. They are part of a broad family of meta...
ISCC
2000
IEEE
14 years 1 months ago
2000
IEEE
With standard assumptions the routing and wavelength assignment problem (RWA) can be viewed as a Markov Decision Process (MDP). The problem, however, defies an exact solution bec...
ICPR
2008
IEEE
14 years 3 months ago
2008
IEEE
Hidden Markov Model (HMM) is the dominant technology in speech recognition. The problem of optimizing model parameters is of great interest to the researchers in this area. The Ba...
WABI
2005
Springer
14 years 2 months ago
2005
Springer
Multiple Sequence Alignment (MSA) is one of the most fundamental problems in computational molecular biology. The running time of the best known scheme for finding an optimal ali...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Genetic algorithms are a population-based Meta heuristics. They have been successfully applied to many optimization problems. However, premature convergence is an inherent charact...