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GPEM
2000
121views more  GPEM 2000»
15 years 4 months ago
Bayesian Methods for Efficient Genetic Programming
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
Byoung-Tak Zhang
154
Voted
COR
2008
99views more  COR 2008»
15 years 4 months ago
Genetic local search for multicast routing with pre-processing by logarithmic simulated annealing
Over the past few years, several local search algorithms have been proposed for various problems related to multicast routing in the off-line mode. We describe a population-based ...
Mohammed S. Zahrani, Martin J. Loomes, James A. Ma...
GECCO
2004
Springer
15 years 10 months ago
A Philosophical Essay on Life and Its Connections with Genetic Algorithms
This paper makes a number of connections between life and various facets of genetic and evolutionary algorithms research. Specifically, it addresses the topics of adaptation, mult...
Fernando G. Lobo
GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
15 years 4 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith
GECCO
2009
Springer
254views Optimization» more  GECCO 2009»
15 years 11 months ago
Agglomerative genetic algorithm for clustering in social networks
Size and complexity of data repositories collaboratively created by Web users generate a need for new processing approaches. In this paper, we study the problem of detection of ...
Marek Lipczak, Evangelos E. Milios