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» Fitness Distributions and GA Hardness
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KES
1999
Springer
13 years 12 months ago
Dynamic Demes parallel genetic algorithm
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
Mariusz Nowostawski, Riccardo Poli
IPPS
2006
IEEE
14 years 1 months ago
A distributed paging RAM grid system for wide-area memory sharing
Memory-intensive applications often suffer from the poor performance of disk swapping when memory is inadequate. Remote memory sharing schemes, which provide a remote memory that ...
Rui Chu, Nong Xiao, Yongzhen Zhuang, Yunhao Liu, X...
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
14 years 8 months ago
The "DGX" distribution for mining massive, skewed data
Skewed distributions appear very often in practice. Unfortunately, the traditional Zipf distribution often fails to model them well. In this paper, we propose a new probability di...
Zhiqiang Bi, Christos Faloutsos, Flip Korn
GECCO
2007
Springer
437views Optimization» more  GECCO 2007»
14 years 1 months ago
A gestalt genetic algorithm: less details for better search
The basic idea to defend in this paper is that an adequate perception of the search space, sacrificing most of the precision, can paradoxically accelerate the discovery of the mo...
Christophe Philemotte, Hugues Bersini
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
14 years 1 months ago
A hardware pipeline for function optimization using genetic algorithms
Genetic Algorithms (GAs) are very commonly used as function optimizers, basically due to their search capability. A number of different serial and parallel versions of GA exist. ...
Malay Kumar Pakhira, Rajat K. De