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EC
1998
178views ECommerce» more  EC 1998»
13 years 12 months ago
The Simple Genetic Algorithm and the Walsh Transform: Part I, Theory
This paper is the first part of a two part series. It proves a number of direct relationships between the Fourier transform and the simple genetic algorithm. (For a binary repres...
Michael D. Vose, Alden H. Wright
FOGA
1994
14 years 1 months ago
Stability of Vertex Fixed Points and Applications
In the Infinite Population Simple Genetic Algorithm, stability of fixed points is considered when mutation is zero. The analysis is based on the spectrum of the differential of th...
Michael D. Vose, Alden H. Wright
GECCO
2000
Springer
121views Optimization» more  GECCO 2000»
14 years 3 months ago
Metaphor for learning: an evolutionary algorithm
The organizational algorithm is examined as a computational approach to representing interpersonal learning. The structure of the algorithm is introduced and described in context ...
Jody Lee Louse, Alexander Kain, James Hines
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
14 years 4 months ago
How an optimal observer can collapse the search space
Many metaheuristics have difficulty exploring their search space comprehensively. Exploration time and efficiency are highly dependent on the size and the ruggedness of the search...
Christophe Philemotte, Hugues Bersini
GECCO
2004
Springer
112views Optimization» more  GECCO 2004»
14 years 5 months ago
What Basis for Genetic Dynamics?
We present a covariant form for genetic dynamics and show how different formulations are simply related by linear coordinate transformations. In particular, in the context of the ...
Chryssomalis Chryssomalakos, Christopher R. Stephe...
GECCO
2004
Springer
124views Optimization» more  GECCO 2004»
14 years 5 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
SGAI
2007
Springer
14 years 6 months ago
Evolving a Dynamic Predictive Coding Mechanism for Novelty Detection
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
Simon J. Haggett, Dominique F. Chu, Ian W. Marshal...