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GECCO
2003
Springer
110views Optimization» more  GECCO 2003»
14 years 29 days 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
EVOW
2007
Springer
13 years 11 months ago
Evaluating Evolutionary Algorithms and Differential Evolution for the Online Optimization of Fermentation Processes
Abstract. Although important contributions have been made in recent years within the field of bioprocess model development and validation, in many cases the utility of even relativ...
Miguel Rocha, José P. Pinto, Isabel Rocha, ...
CEC
2010
IEEE
13 years 8 months ago
Designing airfoils using a reference point based evolutionary many-objective particle swarm optimization algorithm
— In this paper, we illustrate the use of a reference point based many-objective particle swarm optimization algorithm to optimize low-speed airfoil aerodynamic designs. Our fram...
Upali K. Wickramasinghe, Robert Carrese, Xiaodong ...
GECCO
2003
Springer
132views Optimization» more  GECCO 2003»
14 years 29 days ago
Evolutionary Multimodal Optimization Revisited
Abstract. We revisit a class of multimodal function optimizations using evolutionary algorithms reformulated into a multiobjective framework where previous implementations have nee...
Rajeev Kumar, Peter Rockett
AUSAI
2009
Springer
14 years 2 months ago
A Distance Metric for Evolutionary Many-Objective Optimization Algorithms Using User-Preferences
In this paper we propose to use a distance metric based on user-preferences to efficiently find solutions for many-objective problems. In a user-preference based algorithm a decis...
Upali K. Wickramasinghe, Xiaodong Li