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GECCO
2007
Springer
241views Optimization» more  GECCO 2007»
13 years 11 months ago
Binary ant algorithm
When facing dynamic optimization problems the goal is no longer to find the extrema, but to track their progression through the space as closely as possible. Over these kind of ov...
Carlos Fernandes, Agostinho C. Rosa, Vitorino Ramo...
JBI
2011
233views Bioinformatics» more  JBI 2011»
13 years 10 days ago
A set of ontologies to drive tools for the control of vector-borne diseases
We are developing a set of ontologies that deal with vector-borne diseases and the arthropod vectors that transmit them. For practical reasons (application priorities), we initiat...
Pantelis Topalis, Emmanuel Dialynas, Elvira Mitrak...
GECCO
2006
Springer
164views Optimization» more  GECCO 2006»
13 years 9 months ago
Adaptation for parallel memetic algorithm based on population entropy
In this paper, we propose the island model parallel memetic algorithm with diversity-based dynamic adaptive strategy (PMADLS) for controlling the local search frequency and demons...
Jing Tang, Meng-Hiot Lim, Yew-Soon Ong
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
13 years 11 months ago
Evolving neural network ensembles for control problems
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
David Pardoe, Michael S. Ryoo, Risto Miikkulainen
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
13 years 11 months ago
Behavior of finite population variable length genetic algorithms under random selection
In this work we provide empirical evidence that shows how a variable-length genetic algorithm (GA) can naturally evolve shorter average size populations. This reduction in chromos...
Hal Stringer, Annie S. Wu