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» Dynamic populations in genetic algorithms
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GECCO
2004
Springer
124views Optimization» more  GECCO 2004»
15 years 6 months ago
A Statistical Model of GA Dynamics for the OneMax Problem
A model of the dynamics of solving the counting-ones (OneMax) problem using a simple genetic algorithm (GA) is developed. It uses statistics of the early generations of GA runs to ...
Bulent Buyukbozkirli, Erik D. Goodman
99
Voted
ICARIS
2005
Springer
15 years 6 months ago
Two Ways to Grow Tissue for Artificial Immune Systems
An immune system without tissue is like evolution without genes. Something very important is missing. Here we present the novel concept of tissue for artificial immune systems. Muc...
Peter J. Bentley, Julie Greensmith, Supiya Ujjin
ALIFE
2011
14 years 4 months ago
Interactive Evolution of Camouflage
This paper presents an abstract computation model of the evolution of camouflage in nature. The 2d model uses evolved textures for prey, a background texture representing the envi...
Craig Reynolds
GECCO
2006
Springer
123views Optimization» more  GECCO 2006»
15 years 4 months ago
Fluctuating crosstalk, deterministic noise, and GA scalability
This paper extends previous work showing how fluctuating crosstalk in a deterministic fitness function introduces noise into genetic algorithms. In that work, we modeled fluctuati...
Paul Winward, David E. Goldberg
90
Voted
GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
15 years 5 months ago
PalmPrints: A Novel Co-evolutionary Algorithm for Clustering Finger Images
The purpose of this study is to explore an alternative means of hand image classification, one that requires minimal human intervention. The main tool for accomplishing this is a G...
Nawwaf N. Kharma, Ching Y. Suen, Pei F. Guo