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CEC
2007
IEEE
15 years 11 months ago
NEMO: neural enhancement for multiobjective optimization
— In this paper, a neural network approach is presented to expand the Pareto-optimal front for multiobjective optimization problems. The network is trained using results obtained...
Aaron Garrett, Gerry V. Dozier, Kalyanmoy Deb
126
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EVOW
2005
Springer
15 years 10 months ago
Self-Adapting Evolutionary Parameters: Encoding Aspects for Combinatorial Optimization Problems
Abstract. Evolutionary algorithms are powerful tools in search and optimization tasks with several applications in complex engineering problems. However, setting all associated par...
Marcos H. Maruo, Heitor S. Lopes, Myriam Regattier...
ICCSA
2005
Springer
15 years 10 months ago
Comparison of Global Optimization Methods for Drag Reduction in the Automotive Industry
Various global optimization methods are compared in order to find the best strategy to solve realistic drag reduction problems in the automotive industry. All the methods consist ...
Laurent Dumas, Vincent Herbert, Frédé...
EVOW
2006
Springer
15 years 8 months ago
Evolving the Structure of the Particle Swarm Optimization Algorithms
A new model for evolving the structure of a Particle Swarm Optimization (PSO) algorithm is proposed in this paper. The model is a hybrid technique that combines a Genetic Algorithm...
Laura Diosan, Mihai Oltean
EUSFLAT
2007
134views Fuzzy Logic» more  EUSFLAT 2007»
15 years 6 months ago
Selection of Optimal Set of Diagnostic Tests with Use of Evolutionary Approach in Intelligent Systems
This paper concerns problem of selection of optimal subset of irredundant unconditional diagnostic tests by means of evolutionary approach. The method of correction of features’...
A. E. Yankovskaya, Y. R. Tsoy