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GECCO
2010
Springer
174views Optimization» more  GECCO 2010»
14 years 1 months ago
Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
Thanh-Do Tran, Gang-Gyoo Jin
AE
2001
Springer
14 years 2 months ago
Markov Random Field Modelling of Royal Road Genetic Algorithms
Abstract. Markov Random Fields (MRFs) 5] are a class of probabalistic models that have been applied for many years to the analysis of visual patterns or textures. In this paper, ou...
Deryck F. Brown, A. Beatriz Garmendia-Doval, John ...
JUCS
2002
131views more  JUCS 2002»
13 years 9 months ago
Finding Median Partitions Using Information-Theoretical-Based Genetic Algorithms
: In a database with categorical attributes, each attribute defines a partition whose classes can be regarded as natural clusters of rows. In this paper we focus on finding a parti...
Dana Cristofor, Dan A. Simovici
ESANN
2001
13 years 11 months ago
The synergy between multideme genetic algorithms and fuzzy systems
In this article, a real-coded genetic algorithm (GA) is proposed capable of simultaneously optimizing the structure of a system (number of inputs, membership functions and rules) ...
Ignacio Rojas Ruiz, José Luis Bernier, Edua...
GECCO
2000
Springer
170views Optimization» more  GECCO 2000»
14 years 1 months ago
A Comparison of Genetic Algorithms for the Dynamic Job Shop Scheduling Problem
The majority of the research using evolutionary algorithms for the Job Shop Scheduling Problem (JSSP) has studied only the static JSSP. Few evolutionary algorithms have been appli...
Manuel Vázquez, L. Darrell Whitley