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GECCO
2006
Springer
154views Optimization» more  GECCO 2006»
13 years 9 months ago
Emergent mating topologies in spatially structured genetic algorithms
The application of network analysis to emergent mating topologies in spatially structured genetic algorithms is presented in this preliminary study as a framework for inferring ev...
Joshua L. Payne, Margaret J. Eppstein
GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
13 years 9 months ago
A dynamic approach to artificial immune systems utilizing neural networks
The purpose of this work is to propose an immune-inspired setup to use a self-organizing map as a computational model for the interaction of antigens and antibodies. The proposed ...
Stefan Schadwinkel, Werner Dilger
GECCO
1999
Springer
116views Optimization» more  GECCO 1999»
13 years 9 months ago
Dynamic Degree Constrained Network Design: A Genetic Algorithm Approach
The design and development of network infrastructure to support mission-critical operations has become a critical and complicated issue. In this study we explore the use of geneti...
Chao-Hsien Chu, G. Premkumar, Carey Chou, Jianzhon...
GECCO
2003
Springer
129views Optimization» more  GECCO 2003»
13 years 10 months ago
Finding Building Blocks through Eigenstructure Adaptation
A fundamental aspect of many evolutionary approaches to synthesis of complex systems is the need to compose atomic elements into useful higher-level building blocks. However, the ...
Danica Wyatt, Hod Lipson
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
13 years 9 months ago
Dominance learning in diploid genetic algorithms for dynamic optimization problems
This paper proposes an adaptive dominance mechanism for diploidy genetic algorithms in dynamic environments. In this scheme, the genotype to phenotype mapping in each gene locus i...
Shengxiang Yang