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GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
15 years 6 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...
BMCBI
2006
161views more  BMCBI 2006»
14 years 12 months ago
A novel approach to phylogenetic tree construction using stochastic optimization and clustering
Background: The problem of inferring the evolutionary history and constructing the phylogenetic tree with high performance has become one of the major problems in computational bi...
Ling Qin, Yixin Chen, Yi Pan, Ling Chen
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
15 years 6 months ago
Eye-tracking evolutionary algorithm to minimize user fatigue in IEC applied to interactive one-max problem
In this paper, we describe a new algorithm that consists in combining an eye-tracker for minimizing the fatigue of a user during the evaluation process of Interactive Evolutionary...
Denis Pallez, Philippe Collard, Thierry Baccino, L...
ATAL
2003
Springer
15 years 5 months ago
Integrating evolutionary computing and the SADDE methodology
This paper introduces a methodology to help the programmer in the transition from a set of desired global properties expressed as an equation-based model (EBM) that a Multi-Agent ...
Carles Sierra, Jordi Sabater, Jaume Agustí-...
ARTMED
2002
121views more  ARTMED 2002»
14 years 11 months ago
An evolutionary artificial neural networks approach for breast cancer diagnosis
This paper presents an evolutionary artificial neural network approach based on the pareto differential evolution algorithm augmented with local search for the prediction of breas...
Hussein A. Abbass