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» GAS, A Concept on Modeling Species in Genetic Algorithms
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AIR
1998
103views more  AIR 1998»
13 years 7 months ago
Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis
Abstract. Genetic algorithms play a significant role, as search techniques for handling complex spaces, in many fields such as artificial intelligence, engineering, robotic, etc...
Francisco Herrera, Manuel Lozano, José L. V...
GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
13 years 11 months ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...
KES
1999
Springer
13 years 11 months ago
Dynamic Demes parallel genetic algorithm
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
Mariusz Nowostawski, Riccardo Poli
ECAL
2007
Springer
14 years 1 months ago
Symbiosis, Synergy and Modularity: Introducing the Reciprocal Synergy Symbiosis Algorithm
Symbiosis, the collaboration of multiple organisms from different species, is common in nature. A related phenomenon, symbiogenesis, the creation of new species through the genetic...
Rob Mills, Richard A. Watson
BMCBI
2011
12 years 11 months ago
Genotype calling in tetraploid species from bi-allelic marker data using mixture models
Background: Automated genotype calling in tetraploid species was until recently not possible, which hampered genetic analysis. Modern genotyping assays often produce two signals, ...
Roeland E. Voorrips, Gerrit Gort, Ben Vosman