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GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
16 years 4 days ago
GAMM: genetic algorithms with meta-models for vision
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
Greg Lee, Vadim Bulitko
GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
16 years 52 min ago
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...
Jörn Grahl, Franz Rothlauf
GECCO
2000
Springer
145views Optimization» more  GECCO 2000»
15 years 10 months ago
Enhancing the GA's Ability to Cope with Dynamic Environments
: The Shifting Balance Genetic Algorithm (SBGA) is a pluggable module for a GA (or any other Evolutionary Algorithm) based on a modification of Sewall Wright's shifting balanc...
Mark Wineberg, Franz Oppacher
PR
2006
76views more  PR 2006»
15 years 6 months ago
A pattern recognition-based approach for phylogenetic network construction with constrained recombination
The tree representation of evolutionary relationship oversimplifies the view of the process of evolution as it cannot take into account the events such as horizontal gene transfer...
M. A. H. Zahid, Ankush Mittal, Ramesh Chandra Josh...
KES
2005
Springer
16 years 3 days ago
Dafo, a Multi-agent Framework for Decomposable Functions Optimization
This paper introduces Dafo, a new multi-agent framework for evolutionary optimization relying on a competitive coevolutionary genetic algorithm, aka LCGA (Loosely Coupled Genetic A...
Grégoire Danoy, Pascal Bouvry, Olivier Bois...