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IWANN
2007
Springer
16 years 5 days ago
Multiple Instance Learning with Genetic Programming for Web Mining
Abstract. The aim of this paper is to present a new tool of multiple instance learning which is designed using a grammar based genetic programming (GGP) algorithm. We study its app...
Amelia Zafra, Sebastián Ventura, Enrique He...
ICCS
2004
Springer
15 years 11 months ago
The Genetic Algorithms Population Pluglet for the H2O Metacomputing System
Abstract. This paper describes GAPP – a framework for the execution of distributed genetic algorithms (GAs) using the H2O metacomputing environment. GAs may be a viable solution ...
Tomasz Ampula, Dawid Kurzyniec, Vaidy S. Sunderam,...
PPSN
2000
Springer
15 years 9 months ago
Using Dynastic Exploring Recombination to Promote Diversity in Genetic Search
A family of recombination operators is studied in this work. These operators are based on keeping and using certain information about the past evolution of the algorithm to guide t...
Carlos Cotta, José M. Troya
EOR
2006
80views more  EOR 2006»
15 years 6 months ago
Vehicle routing and crew scheduling for metropolitan mail distribution at Australia Post
This paper presents a new multi-depot combined vehicle and crew scheduling algorithm, and uses it, in conjunction with a heuristic vehicle routing algorithm, to solve the intra-ci...
B. L. Hollis, M. A. Forbes, B. E. Douglas
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
16 years 6 days ago
An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data
This paper describes an extension to the Restricted Growth Function grouping Genetic Algorithm applied to the Consensus Clustering of a retinal nerve fibre layer data-set. Consens...
Stephen Swift, Allan Tucker, Jason Crampton, David...