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GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
15 years 4 months ago
Introducing MONEDA: scalable multiobjective optimization with a neural estimation of distribution algorithm
In this paper we explore the model–building issue of multiobjective optimization estimation of distribution algorithms. We argue that model–building has some characteristics t...
Luis Martí, Jesús García, Ant...
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
15 years 4 months ago
Application domain study of evolutionary algorithms in optimization problems
This paper deals with the problem of comparing and testing evolutionary algorithms, that is, the benchmarking problem, from an analysis point of view. A practical study of the app...
Pilar Caamaño, Francisco Bellas, José...
DATE
2003
IEEE
115views Hardware» more  DATE 2003»
15 years 8 months ago
Control Flow Driven Splitting of Loop Nests at the Source Code Level
This paper presents a novel source code transformation for control flow optimizationcalled loop nest splitting which minimizes the number of executed if-statements in loop nests ...
Heiko Falk, Peter Marwedel
GECCO
2003
Springer
15 years 8 months ago
Pruning Neural Networks with Distribution Estimation Algorithms
Abstract. This paper describes the application of four evolutionary algorithms to the pruning of neural networks used in classification problems. Besides of a simple genetic algor...
Erick Cantú-Paz
GECCO
2003
Springer
124views Optimization» more  GECCO 2003»
15 years 8 months ago
Study Diploid System by a Hamiltonian Cycle Problem Algorithm
Complex representation in Genetic Algorithms and pattern in real problems limits the effect of crossover to construct better pattern from sporadic building blocks. Instead of intro...
Dong Xianghui, Ruwei Dai