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GECCO
2005
Springer
110views Optimization» more  GECCO 2005»
14 years 1 months ago
Towards identifying populations that increase the likelihood of success in genetic programming
This paper presents a comprehensive, multivariate account of how initial population material is used over the course of a genetic programming run as while various factors influenc...
Jason M. Daida
GECCO
2004
Springer
130views Optimization» more  GECCO 2004»
14 years 1 months ago
The Shifting Balance Genetic Algorithm as More than Just Another Island Model GA
The Shifting Balance Genetic Algorithm (SBGA) is an extension of the Genetic Algorithm (GA) that was created to promote guided diversity to improve performance in highly multimodal...
Mark Wineberg, Jun Chen
ICGA
1993
145views Optimization» more  ICGA 1993»
13 years 9 months ago
Genetic Programming of Minimal Neural Nets Using Occam's Razor
A genetic programming method is investigated for optimizing both the architecture and the connection weights of multilayer feedforward neural networks. The genotype of each networ...
Byoung-Tak Zhang, Heinz Mühlenbein
TCAD
2002
110views more  TCAD 2002»
13 years 7 months ago
A constructive genetic algorithm for gate matrix layout problems
This paper describes an application of a Constructive Genetic Algorithm (CGA) to the Gate Matrix Layout Problem (GMLP). The GMLP happens in very large scale integration (VLSI) desi...
Alexandre César Muniz de Oliveira, Luiz Ant...
PROCEDIA
2010
84views more  PROCEDIA 2010»
13 years 6 months ago
Individual-based simulation of sexual selection: A quantitative genetic approach
Sexual selection has been mathematically modeled using quantitative genetics as well as population genetics. Two-locus simulation models have been used to study the evolution of m...
D. van Dijk, Peter M. A. Sloot, J. C. Tay, M. C. S...