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89
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PPSN
2004
Springer
15 years 3 months ago
SPEA2+: Improving the Performance of the Strength Pareto Evolutionary Algorithm 2
Multi-objective optimization methods are essential to resolve real-world problems as most involve several types of objects. Several multi-objective genetic algorithms have been pro...
Mifa Kim, Tomoyuki Hiroyasu, Mitsunori Miki, Shiny...
81
Voted
ISMIS
2003
Springer
15 years 3 months ago
Evolutionary Computation for Optimal Ensemble Classifier in Lymphoma Cancer Classification
Owing to the development of DNA microarray technologies, it is possible to get thousands of expression levels of genes at once. If we make the effective classification system with ...
Chanho Park, Sung-Bae Cho
EMO
2006
Springer
113views Optimization» more  EMO 2006»
15 years 1 months ago
Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization
Abstract. Optimization in changing environment is a challenging task, especially when multiple objectives are to be optimized simultaneously. The basic idea to address dynamic opti...
Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sen...
63
Voted
NCS
2008
96views more  NCS 2008»
14 years 11 months ago
Evolutionary Reproduction of Dutch Masters: The Mondriaan and Escher Evolvers
ct This chapter discusses two applications aiming at evolving images in the styles of two well-known Dutch painters: Mondriaan and Escher. For both cases we have an evaluation crit...
A. E. Eiben
58
Voted
CEC
2010
IEEE
14 years 11 months ago
Evolutionary automated recognition and characterization of an individual's artistic style
In this paper, we introduce a new image database, consisting of examples of artists' work. Successful classification of this database suggests the capacity to automatically re...
Taras Kowaliw, Jon McCormack, Alan Dorin