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GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
14 years 12 days ago
Dominance learning in diploid genetic algorithms for dynamic optimization problems
This paper proposes an adaptive dominance mechanism for diploidy genetic algorithms in dynamic environments. In this scheme, the genotype to phenotype mapping in each gene locus i...
Shengxiang Yang
GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
14 years 2 months ago
Diversity as a selection pressure in dynamic environments
Evolutionary algorithms (EAs) are widely used to deal with optimization problems in dynamic environments (DE) [3]. When using EAs to solve DE problems, we are usually interested i...
Lam Thu Bui, Jürgen Branke, Hussein A. Abbass
IJAR
2008
119views more  IJAR 2008»
13 years 8 months ago
Adapting Bayes network structures to non-stationary domains
When an incremental structural learning method gradually modifies a Bayesian network (BN) structure to fit observations, as they are read from a database, we call the process stru...
Søren Holbech Nielsen, Thomas D. Nielsen
IEEESCC
2006
IEEE
14 years 2 months ago
Business Process Adaptations via Protocols
Business process management in service-oriented computing (SOC) environments poses special challenges. In particular, SOC environments are dynamic, thereby requiring frequent chan...
Nirmit Desai, Amit K. Chopra, Munindar P. Singh
CLUSTER
2003
IEEE
14 years 2 months ago
A General Self-Adaptive Task Scheduling System for Non-Dedicated Heterogeneous Computing
— The efforts to construct a national scale Grid computing environment have brought unprecedented computing capacity and complicacy. Exploiting this complex infrastructure requir...
Ming Wu, Xian-He Sun