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CEC
2007
IEEE
16 years 1 months ago
NEMO: neural enhancement for multiobjective optimization
— In this paper, a neural network approach is presented to expand the Pareto-optimal front for multiobjective optimization problems. The network is trained using results obtained...
Aaron Garrett, Gerry V. Dozier, Kalyanmoy Deb
ICTAI
2006
IEEE
16 years 1 months ago
Intelligent Neighborhood Exploration in Local Search Heuristics
Standard tabu search methods are based on the complete exploration of current solution neighborhood. However, for some problems with very large neighborhood or time-consuming eval...
Isabelle Devarenne, Hakim Mabed, Alexandre Caminad...
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
16 years 18 days ago
Alternative implementations of the Griewangk function
The well-known Griewangk function, used for evaluation of evolutionary algorithms, becomes easier as the number of dimensions grows. This paper suggests three alternative implemen...
Artem Sokolov, L. Darrell Whitley, Monte Lunacek
194
Voted
PKDD
2004
Springer
138views Data Mining» more  PKDD 2004»
16 years 12 days ago
Combining Multiple Clustering Systems
Three methods for combining multiple clustering systems are presented and evaluated, focusing on the problem of finding the correspondence between clusters of different systems. ...
Constantinos Boulis, Mari Ostendorf
PPSN
2004
Springer
16 years 12 days ago
Constrained Evolutionary Optimization by Approximate Ranking and Surrogate Models
Abstract. The paper describes an evolutionary algorithm for the general nonlinear programming problem using a surrogate model. Surrogate models are used in optimization when model ...
Thomas Philip Runarsson