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GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
14 years 2 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...
ICES
2005
Springer
121views Hardware» more  ICES 2005»
14 years 2 months ago
Hardware Platforms for MEMS Gyroscope Tuning Based on Evolutionary Computation Using Open-Loop and Closed-Loop Frequency Respons
Abstract. We propose a tuning method for MEMS gyroscopes based on evolutionary computation to efficiently increase the sensitivity of MEMS gyroscopes through tuning. The tuning met...
Didier Keymeulen, Michael I. Ferguson, Wolfgang Fi...
GECCO
2003
Springer
111views Optimization» more  GECCO 2003»
14 years 2 months ago
Evolutionary Computing as a Tool for Grammar Development
Abstract. In this paper, an agent-based evolutionary computing technique is introduced, that is geared towards the automatic induction and optimization of grammars for natural lang...
Guy De Pauw
PPSN
1998
Springer
14 years 1 months ago
A Decoder-Based Evolutionary Algorithm for Constrained Parameter Optimization Problems
Several methods have been proposed for handling nonlinear constraints by evolutionary algorithms for numerical optimization problems; a survey paper [7] provides an overview of var...
Slawomir Koziel, Zbigniew Michalewicz
DAWAK
2006
Springer
14 years 27 days ago
Mixed Decision Trees: An Evolutionary Approach
In the paper, a new evolutionary algorithm (EA) for mixed tree learning is proposed. In non-terminal nodes of a mixed decision tree different types of tests can be placed, ranging ...
Marek Kretowski, Marek Grzes