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GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
16 years 1 months ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
180
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GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
16 years 1 months ago
Transition models as an incremental approach for problem solving in evolutionary algorithms
This paper proposes an incremental approach for building solutions using evolutionary computation. It presents a simple evolutionary model called a Transition model in which parti...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, J...
ICIC
2005
Springer
16 years 1 months ago
A Nonlinear Adaptive Predictive Control Algorithm Based on OFS Model
Firstly, a method is introduced which uses Volterra series deploying technique to construct a nonlinear model based on OFS model. Then an improved novel incremental mode multiple s...
Haitao Zhang, Zonghai Chen, Ming Li, Wei Xiang, Ti...
175
Voted
ECAI
2004
Springer
16 years 26 days ago
An Algorithm for Knowledge Base Extraction
Many approaches have been proposed for reasoning based on conflicting information in general and in particular on stratified knowledge bases, i.e. bases in which all pieces of i...
Alexander Nittka
CEC
2003
IEEE
16 years 23 days ago
Adaptive temperature schedule determined by genetic algorithm for parallel simulated annealing
Abstract- Simulated annealing (SA) is an effective general heuristic method for solving many combinatorial optimization problems. This paper deals with two problems in SA. One is ...
Mitsunori Miki, Tomoyuki Hiroyasu, Jun'ya Wako, Ta...