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ENC
2005
IEEE
15 years 8 months ago
Saving Evaluations in Differential Evolution for Constrained Optimization
Generally, evolutionary algorithms require a large number of evaluations of the objective function in order to obtain a good solution. This paper presents a simple approach to sav...
Efrén Mezura-Montes, Carlos A. Coello Coell...
GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
15 years 6 months ago
A mono surrogate for multiobjective optimization
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective O...
Ilya Loshchilov, Marc Schoenauer, Michèle S...
IWCLS
2007
Springer
15 years 9 months ago
On Lookahead and Latent Learning in Simple LCS
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
Larry Bull
DSN
2008
IEEE
15 years 9 months ago
Automatic security assessment of critical cyber-infrastructures
This research investigates the automation of security assessment of the static and dynamic properties of cyberinfrastructures, with emphasis on the electrical power grid. We descr...
Zahid Anwar, Ravinder Shankesi, Roy H. Campbell
ACST
2006
15 years 4 months ago
Domain decomposition by radial basis functions for time dependent partial differential equations
In the last years, there has been an increased investigation of efficient algorithms to solve problems of great scale. The main restriction of the traditional methods, like finite...
José Antonio Muñoz-Gómez, Ped...