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» Accelerated Genetic Algorithms with Markov Chains
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FOGA
2011
14 years 1 months ago
On the movement of vertex fixed points in the simple GA
The Vose dynamical system model of the simple genetic algorithm models the behavior of this algorithm for large population sizes and is the basis of the exact Markov chain model. ...
Alden H. Wright, Tomás Gedeon, J. Neal Rich...
90
Voted
EC
2006
163views ECommerce» more  EC 2006»
14 years 9 months ago
An Extension of Geiringer's Theorem for a Wide Class of Evolutionary Search Algorithms
The frequency with which various elements of the search space of a given evolutionary algorithm are sampled is affected by the family of recombination (reproduction) operators. Th...
Boris Mitavskiy, Jonathan E. Rowe
FOGA
1998
14 years 11 months ago
Understanding Interactions among Genetic Algorithm Parameters
Genetic algorithms (GAs) are multi-dimensional and stochastic search methods, involving complex interactions among their parameters. For last two decades, researchers have been tr...
Kalyanmoy Deb, Samir Agrawal
86
Voted
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 1 months ago
String transformation-based Bayesian classification or proteins
We describe a Markov chain Bayesian classification tool, SCS, that can perform data-driven classification of proteins and protein segments. Training data for interesting classific...
Timothy Meekhof, Gary W. Daughdrill, Robert B. Hec...
STOC
1995
ACM
126views Algorithms» more  STOC 1995»
15 years 1 months ago
A computational view of population genetics
This paper contributes tothe study of nonlinear dynamical systems from a computational perspective. These systems are inherently more powerful than their linear counterparts (such...
Yuval Rabani, Yuri Rabinovich, Alistair Sinclair