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ICTAI
2005
IEEE
15 years 6 months ago
Determining the Optimal Number of Clusters Using a New Evolutionary Algorithm
Estimating the optimal number of clusters for a dataset is one of the most essential issues in cluster analysis. An improper pre-selection for the number of clusters might easily ...
Wei Lu, Issa Traoré
64
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GECCO
2007
Springer
165views Optimization» more  GECCO 2007»
15 years 6 months ago
Constraint-handling techniques used with evolutionary algorithms
Carlos A. Coello Coello
GECCO
2008
Springer
170views Optimization» more  GECCO 2008»
15 years 1 months ago
Evolving prediction weights using evolution strategy
The evolution strategy is one of the strongest evolutionary algorithms for optimizing real-value vectors. In this paper, we study how to use it for the evolution of prediction wei...
Trung Hau Tran, Cédric Sanza, Yves Duthen
GECCO
2000
Springer
121views Optimization» more  GECCO 2000»
15 years 4 months ago
Metaphor for learning: an evolutionary algorithm
The organizational algorithm is examined as a computational approach to representing interpersonal learning. The structure of the algorithm is introduced and described in context ...
Jody Lee Louse, Alexander Kain, James Hines
EMO
2009
Springer
190views Optimization» more  EMO 2009»
15 years 7 months ago
Solving Bilevel Multi-Objective Optimization Problems Using Evolutionary Algorithms
Abstract. Bilevel optimization problems require every feasible upperlevel solution to satisfy optimality of a lower-level optimization problem. These problems commonly appear in ma...
Kalyanmoy Deb, Ankur Sinha