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» Dynamic populations in genetic algorithms
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84
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GECCO
2007
Springer
195views Optimization» more  GECCO 2007»
15 years 4 months ago
Diverse committees vote for dependable profits
Stock selection for hedge fund portfolios is a challenging problem for Genetic Programming (GP) because the markets (the environment in which the GP solution must survive) are dyn...
Wei Yan, Christopher D. Clack
WABI
2010
Springer
178views Bioinformatics» more  WABI 2010»
14 years 11 months ago
Haplotype Inference on Pedigrees with Recombinations and Mutations
Abstract. Haplotype Inference (HI) is a computational challenge of crucial importance in a range of genetic studies, such as functional genomics, pharmacogenetics and population ge...
Yuri Pirola, Paola Bonizzoni, Tao Jiang
GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
15 years 4 months ago
Pareto-coevolutionary genetic programming classifier
The conversion and extension of the Incremental ParetoCoevolution Archive algorithm (IPCA) into the domain of Genetic Programming classifier evolution is presented. In order to ac...
Michal Lemczyk, Malcolm I. Heywood
117
Voted
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
15 years 1 months ago
Parameterizing pair approximations for takeover dynamics
Pair approximations have often been used to predict equilibrium conditions in spatially-explicit epidemiological and ecological systems. In this work, we investigate whether this ...
Joshua L. Payne, Margaret J. Eppstein
112
Voted
PPSN
2000
Springer
15 years 4 months ago
Competitive Segmentation: A Struggle for Image Space
In this paper, we propose a competitive image segmentation algorithm. It is a dynamic evolving optimization method, which we call the population algorithm. The method is inspired f...
Cor J. Veenman, Marcel J. T. Reinders, Eric Backer