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» Evolving Objects: A General Purpose Evolutionary Computation...
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GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
14 years 1 days ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
GECCO
2006
Springer
220views Optimization» more  GECCO 2006»
13 years 11 months ago
Comparing evolutionary algorithms on the problem of network inference
In this paper, we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different evoluti...
Christian Spieth, Rene Worzischek, Felix Streicher...
IPPS
1998
IEEE
13 years 11 months ago
Parallel Optimisation in the SCOOP Library
This paper shows how parallelism has been integrated into SCOOP, a C++ class library for solving optimisation problems. After a description of the modeling and the optimisation par...
Per Kristian Nilsen, Nicolas Prcovic
CCR
2010
156views more  CCR 2010»
13 years 7 months ago
Evolvable network architectures: what can we learn from biology?
There is significant research interest recently to understand the evolution of the current Internet, as well as to design clean-slate Future Internet architectures. Clearly, even ...
Constantine Dovrolis, J. Todd Streelman
COR
2010
150views more  COR 2010»
13 years 7 months ago
Black box scatter search for general classes of binary optimization problems
The purpose of this paper is to apply the scatter search methodology to general classes of binary problems. We focus on optimization problems for which the solutions are represent...
Francisco Gortázar, Abraham Duarte, Manuel ...