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» Evolving Temporal Association Rules with Genetic Algorithms
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GECCO
2008
Springer
158views Optimization» more  GECCO 2008»
13 years 9 months ago
Structure and parameter estimation for cell systems biology models
In this work we present a new methodology for structure and parameter estimation in cell systems biology modelling. Our modelling framework is based on P systems, an unconl comput...
Francisco José Romero-Campero, Hongqing Cao...
GECCO
2005
Springer
197views Optimization» more  GECCO 2005»
14 years 2 months ago
Breeding swarms: a GA/PSO hybrid
Abstract. In this paper we propose a novel hybrid (GA/PSO) algorithm, Breeding Swarm, combining the strengths of particle swarm optimization with genetic algorithms. The hybrid alg...
Matthew Settles, Terence Soule
GECCO
2008
Springer
154views Optimization» more  GECCO 2008»
13 years 9 months ago
Automated shape composition based on cell biology and distributed genetic programming
Motivated by the ability of living cells to form specific shapes and structures, we present a computational approach using distributed genetic programming to discover cell-cell i...
Linge Bai, Manolya Eyiyurekli, David E. Breen
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 2 months ago
Observing the swarm behaviour during its evolutionary design
Evolutionary Algorithms (EAs) can be used for designing Particle Swarm Optimization (PSO) algorithms that work, in some cases, considerably better than the human-designed ones. By...
Laura Diosan, Mihai Oltean
BMCBI
2010
88views more  BMCBI 2010»
13 years 8 months ago
FastTagger: an efficient algorithm for genome-wide tag SNP selection using multi-marker linkage disequilibrium
Background: Human genome contains millions of common single nucleotide polymorphisms (SNPs) and these SNPs play an important role in understanding the association between genetic ...
Guimei Liu, Yue Wang, Limsoon Wong