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» Representations for evolutionary algorithms
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71
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GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
15 years 3 months ago
Evolutionary change in developmental timing
This paper presents a mutation-based evolutionary algorithm that evolves genotypic genes for regulating developmental timing of phenotypic values. The genotype sequentially genera...
Kei Ohnishi, Kaori Yoshida
87
Voted
GECCO
2003
Springer
110views Optimization» more  GECCO 2003»
15 years 3 months ago
Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers
One advantage of evolutionary multiobjective optimization (EMO) algorithms over classical approaches is that many non-dominated solutions can be simultaneously obtained by their si...
Hisao Ishibuchi, Takashi Yamamoto
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
15 years 4 months ago
Discovering event evidence amid massive, dynamic datasets
Automated event extraction remains a very difficult challenge requiring information analysts to manually identify key events of interest within massive, dynamic data. Many techniq...
Robert M. Patton, Thomas E. Potok
70
Voted
CIG
2005
IEEE
15 years 3 months ago
Co-evolutionary Strategies for an Alternating-Offer Bargaining Problem
Abstract- In this paper, we apply an Evolutionary Algorithm (EA) to solve the Rubinstein’s Basic AlternatingOffer Bargaining Problem, and compare our experimental results with it...
Nanlin Jin, Edward P. K. Tsang
100
Voted
GECCO
2005
Springer
125views Optimization» more  GECCO 2005»
15 years 3 months ago
Improving EA-based design space exploration by utilizing symbolic feasibility tests
This paper will propose a novel approach in combining Evolutionary Algorithms with symbolic techniques in order to improve the convergence of the algorithm in the presence of larg...
Thomas Schlichter, Christian Haubelt, Jürgen ...