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CEC
2005
IEEE
13 years 9 months ago
Population based incremental learning with guided mutation versus genetic algorithms: iterated prisoners dilemma
Axelrod’s original experiments for evolving IPD player strategies involved the use of a basic GA. In this paper we examine how well a simple GA performs against the more recent P...
Timothy Gosling, Nanlin Jin, Edward P. K. Tsang
GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
13 years 8 months ago
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Antonio LaTorre, José Manuel Peña, V...
BIOINFORMATICS
2005
63views more  BIOINFORMATICS 2005»
13 years 7 months ago
A fuzzy guided genetic algorithm for operon prediction
Elizabeth Jacob, Roschen Sasikumar, K. N. Ramachan...
ECAL
2005
Springer
14 years 1 months ago
How Niche Construction Can Guide Coevolution
Niche construction is the process whereby organisms, through their metabolism, activities, and choices, modify their own and/or each other’s niches. Our purpose is to clarify the...
Reiji Suzuki, Takaya Arita
CIDM
2007
IEEE
14 years 2 months ago
K2GA: Heuristically Guided Evolution of Bayesian Network Structures from Data
— We present K2GA, an algorithm for learning Bayesian network structures from data. K2GA uses a genetic algorithm to perform stochastic search, while employing a modified versio...
Eli Faulkner