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» Evolutionary Computation for Modeling and Optimization
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GECCO
2009
Springer
118views Optimization» more  GECCO 2009»
16 years 1 months ago
The impact of network topology on self-organizing maps
In this paper, we study instances of complex neural networks, i.e. neural networks with complex topologies. We use Self-Organizing Map neural networks whose neighborhood relations...
Fei Jiang, Hugues Berry, Marc Schoenauer
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
15 years 12 months ago
Hybrid multiobjective genetic algorithm with a new adaptive local search process
This paper is concerned with a specific brand of evolutionary algorithms: Memetic algorithms. A new local search technique with an adaptive neighborhood setting process is introdu...
Salem F. Adra, Ian Griffin, Peter J. Fleming
GECCO
2003
Springer
123views Optimization» more  GECCO 2003»
15 years 11 months ago
Analysis of the (1+1) EA for a Dynamically Bitwise Changing OneMax
Abstract. Although evolutionary algorithms (EAs) are often successfully used for the optimization of dynamically changing objective function, there are only very few theoretical re...
Stefan Droste
GECCO
2003
Springer
101views Optimization» more  GECCO 2003»
15 years 11 months ago
Population Implosion in Genetic Programming
With the exception of a small body of adaptive-parameter literature, evolutionary computation has traditionally favored keeping the population size constant through the course of t...
Sean Luke, Gabriel Catalin Balan, Liviu Panait
GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
15 years 10 months ago
Instance similarity and the effectiveness of case injection in a genetic algorithm for binary quadratic programming
When an evolutionary algorithm addresses a sequence of instances of the same problem, it can seed its population with solutions that it found for previous instances. This techniqu...
Jason Amunrud, Bryant A. Julstrom