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SAC
1998
ACM
13 years 12 months ago
Scalability of an MPI-based fast messy genetic algorithm
The fast messy genetic algorithm (fmGA) belongs to a class of algorithms inspired by the principles of evolution, known appropriately as "evolutionary algorithms" (EAs)....
Laurence D. Merkle, George H. Gates Jr., Gary B. L...
AACC
2004
Springer
14 years 1 months ago
Mining Top - k Ranked Webpages Using Simulated Annealing and Genetic Algorithms
Searching on the Internet has grown in importance over the last few years, as huge amount of information is invariably accumulated on the Web. The problem involves locating the des...
P. Deepa Shenoy, K. G. Srinivasa, Achint Oommen Th...
CORR
2008
Springer
129views Education» more  CORR 2008»
13 years 7 months ago
Evolving Dynamic Change and Exchange of Genotype Encoding in Genetic Algorithms for Difficult Optimization Problems
The application of genetic algorithms (GAs) to many optimization problems in organizations often results in good performance and high quality solutions. For successful and efficien...
Maroun Bercachi, Philippe Collard, Manuel Clergue,...
JCM
2007
129views more  JCM 2007»
13 years 7 months ago
Evolutionary Approach for Efficient Resource Allocation in Multi-User OFDM Systems
– Orthogonal Frequency Division Multiplexing is a promising technology for high data rate transmission in wideband wireless systems for achieving high downlink capabilities in th...
Yenumula B. Reddy, Nandigam Gajendar
CSC
2006
13 years 9 months ago
A New Migration Model For Distributed Genetic Algorithms
Genetic algorithms are heuristic search algorithm used in science, engineering and many other areas. They are powerful but slow because of their evolutionary nature that mimics th...
Taisir Eldos