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» Enhancing the GA's Ability to Cope with Dynamic Environments
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GECCO
2000
Springer
145views Optimization» more  GECCO 2000»
13 years 8 months ago
Enhancing the GA's Ability to Cope with Dynamic Environments
: The Shifting Balance Genetic Algorithm (SBGA) is a pluggable module for a GA (or any other Evolutionary Algorithm) based on a modification of Sewall Wright's shifting balanc...
Mark Wineberg, Franz Oppacher
UML
2005
Springer
13 years 10 months ago
Enhancement of Development Technologies for Agent-Based Software Engineering
Abstract. Current trends in software development show a move towards supporting autonomous components (agents). The accurate timing of interactions between such components is growi...
Andre Karpistsenko
GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
13 years 10 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
FLAIRS
2008
13 years 7 months ago
Causal Reasoning with Contexts Using Dependent Types
In Artificial Intelligence, a crucial requirement is the ability to reason about actions and their effects on the environment. Traditional approaches which rely on classical logic...
Richard Dapoigny, Patrick Barlatier
IASTEDSEA
2004
13 years 6 months ago
Enterprise service facilitation within agent environments
A prerequisite of participating in an enterprise system is the ability to cope with the rigorous demands experienced within the system. In order to cope with these demands, a numb...
Edward Curry, Desmond Chambers, Gerard Lyons