Sciweavers

529 search results - page 10 / 106
» A framework for the description of evolutionary algorithms
Sort
View
GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
14 years 2 months ago
Tracking extrema in dynamic environments using a coevolutionary agent-based model of genotype edition
Typical applications of evolutionary optimization in static environments involve the approximation of the extrema of functions. For dynamic environments, the interest is not to lo...
Chien-Feng Huang, Luis Mateus Rocha
GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
13 years 9 months ago
A robust evolutionary framework for multi-objective optimization
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
Kalyanmoy Deb
EMSOFT
2005
Springer
14 years 2 months ago
Rialto: a bridge between description and implementation of control algorithms for wireless sensor networks
Rialto is a design framework that allows separating the description of a control application for wireless sensor networks from its physical network implementation. The methodology...
Alvise Bonivento, Luca P. Carloni, Alberto L. Sang...
PPSN
1994
Springer
14 years 21 days ago
RPL2: A Language and Parallel Framework for Evolutionary Computing
The Reproductive Plan Language 2 (RPL2) is an extensible interpreted language for writing and using evolutionary computing programs. It supports arbitrary genetic representations,...
Patrick D. Surry, Nicholas J. Radcliffe
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
14 years 8 days ago
A general coarse-graining framework for studying simultaneous inter-population constraints induced by evolutionary operations
The use of genotypic populations is necessary for adaptation in Evolutionary Algorithms. We use a technique called form-invariant commutation to study the immediate effect of evol...
Keki M. Burjorjee, Jordan B. Pollack