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ICANNGA
2007
Springer
161views Algorithms» more  ICANNGA 2007»
14 years 21 days ago
Evolutionary Induction of Decision Trees for Misclassification Cost Minimization
Abstract. In the paper, a new method of decision tree learning for costsensitive classification is presented. In contrast to the traditional greedy top-down inducer in the proposed...
Marek Kretowski, Marek Grzes
GECCO
2006
Springer
167views Optimization» more  GECCO 2006»
14 years 15 days ago
Estimating the destructiveness of crossover on binary tree representations
In some cases, evolutionary algorithms represent individuals as typical binary trees with n leaves and n-1 internal nodes. When designing a crossover operator for a particular rep...
Luke Sheneman, James A. Foster
EPIA
2007
Springer
14 years 3 months ago
Evaluating Simulated Annealing Algorithms in the Optimization of Bacterial Strains
Abstract. In this work, a Simulated Annealing (SA) algorithm is proposed for a Metabolic Engineering task: the optimization of the set of gene deletions to apply to a microbial str...
Miguel Rocha, Rui Mendes, Paulo Maia, José ...
GECCO
2003
Springer
155views Optimization» more  GECCO 2003»
14 years 2 months ago
Adaptive Elitist-Population Based Genetic Algorithm for Multimodal Function Optimization
Abstract. This paper introduces a new technique called adaptive elitistpopulation search method for allowing unimodal function optimization methods to be extended to efficiently lo...
Kwong-Sak Leung, Yong Liang
GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
14 years 15 days ago
Rotated test problems for assessing the performance of multi-objective optimization algorithms
This paper presents four rotatable multi-objective test problems that are designed for testing EMO (Evolutionary Multiobjective Optimization) algorithms on their ability in dealin...
Antony W. Iorio, Xiaodong Li