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GECCO
2005
Springer
118views Optimization» more  GECCO 2005»
15 years 3 months ago
G2DGA: an adaptive framework for internet-based distributed genetic algorithms
The Internet is different from traditional parallel computing environments, and Distributed Genetic Algorithms (DGAs) for the Internet need to be designed to address these diffe...
Johan Berntsson
102
Voted
EPS
1997
Springer
15 years 1 months ago
An Individually Variable Mutation-Rate Strategy for Genetic Algorithms
Abstract. In Neo-Darwinism, mutation can be considered to be unaffected by selection pressure. This is the metaphor generally used by the genetic algorithm for its treatment of the...
Stephen A. Stanhope, Jason M. Daida
ICIP
2001
IEEE
15 years 11 months ago
On the estimation of spectral data: a genetic algorithm approach
Spectral data estimation from image data is an ill-posed problem since (i) due to the integral nature of solid-state light sensors the same output can be obtained from an infinity...
Amâncio Santos, António Dourado, Bern...
IJCAI
2001
14 years 11 months ago
Genetic Algorithm based Selective Neural Network Ensemble
Neural network ensemble is a learning paradigm where several neural networks are jointly used to solve a problem. In this paper, the relationship between the generalization abilit...
Zhi-Hua Zhou, Jianxin Wu, Yuan Jiang, Shifu Chen
CEC
2010
IEEE
14 years 10 months ago
A modified genetic algorithm for matching building sets with the histograms of forces
Abstract--This paper presents an approach to the task of locating a group of buildings based solely on their relative spatial relationships. This situation can occur in the problem...
Andrew R. Buck, James M. Keller, Marjorie Skubic