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GECCO
2007
Springer
437views Optimization» more  GECCO 2007»
15 years 4 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
SAC
2008
ACM
14 years 9 months ago
Dynamic populations in genetic algorithms
Biological populations are dynamic in both space and time, that is, the population size of a species fluctuates across their habitats over time. There are rarely any static or fix...
Zhanshan (Sam) Ma, Axel W. Krings
103
Voted
HPDC
2005
IEEE
15 years 3 months ago
Genetic algorithm based automatic data partitioning scheme for HPF
good data partitioning scheme is the need of the time. However it is very diflcult to arrive at a good solution as the number of possible dutupartitionsfor a given real lifeprogra...
Sunil Kumar Anand, Y. N. Srikant
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
15 years 4 months ago
GAMA (genetic algorithm driven multi-agents)for e-commerce integrative negotiation
Software agents help automate a variety of tasks including those involved in buying and selling products over the internet. The need for handling complex highly configurable produ...
Magda Bahaa Eldin Fayek, Ihab A. Talkhan, Khalil S...
IPPS
1997
IEEE
15 years 1 months ago
Designing Efficient Distributed Algorithms Using Sampling Techniques
In this paper we show the power of sampling techniques in designing efficient distributed algorithms. In particular, we show that using sampling techniques, on some networks, sele...
Sanguthevar Rajasekaran, David S. L. Wei