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168
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CEC
2009
IEEE
15 years 8 months ago
Automatic clustering with multi-objective Differential Evolution algorithms
—This paper applies the Differential Evolution (DE) algorithm to the task of automatic fuzzy clustering in a Multi-objective Optimization (MO) framework. It compares the performa...
Kaushik Suresh, Debarati Kundu, Sayan Ghosh, Swaga...
174
Voted
ICANN
2010
Springer
15 years 1 months ago
Using Evolutionary Multiobjective Techniques for Imbalanced Classification Data
The aim of this paper is to study the use of Evolutionary Multiobjective Techniques to improve the performance of Neural Networks (NN). In particular, we will focus on classificati...
Sandra García, Ricardo Aler, Inés Ma...
140
Voted
HAIS
2009
Springer
15 years 8 months ago
Automatic Clustering Using a Synergy of Genetic Algorithm and Multi-objective Differential Evolution
— This paper applies the Differential Evolution (DE) and Genetic Algorithm (GA) to the task of automatic fuzzy clustering in a Multi-objective Optimization (MO) framework. It com...
Debarati Kundu, Kaushik Suresh, Sayan Ghosh, Swaga...
129
Voted
CEC
2009
IEEE
15 years 10 months ago
Evolutionary image segmentation based on multiobjective clustering
— In the fields of image processing and recognition, image segmentation is an important basic technique in which an image is partitioned into multiple regions (sets of pixels). ...
Shinichi Shirakawa, Tomoharu Nagao
138
Voted
EMO
2005
Springer
110views Optimization» more  EMO 2005»
15 years 9 months ago
Parallelization of Multi-objective Evolutionary Algorithms Using Clustering Algorithms
Abstract. While Single-Objective Evolutionary Algorithms (EAs) parallelization schemes are both well established and easy to implement, this is not the case for Multi-Objective Evo...
Felix Streichert, Holger Ulmer, Andreas Zell