Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

14

IKE
2004

favoriteEmaildiscussreport

142views Information Technology» more IKE 2004»

Agent-Based Optimization of Business Functions Using Coevolutionary Algorithms

13 years 5 months ago

Agent-Based Optimization of Business Functions Using Coevolutionary Algorithms

Download pascal.bouvry.org

This paper presents one target of the Evo-business project (2003-2005, conducted at University of Luxembourg) which aims at applying evolutionary algorithms (and more precisely loosely coupled genetic algorithms) to the distributed optimization of functions representing corporate goals within Virtual Organizations. The distribution of the algorithm will be achieved using a standard multi-agent framework.

Grégoire Danoy, Pascal Bouvry, Franciszek S

Real-time Traffic

Evolutionary Algorithms | Genetic Algorithms | IKE 2004 | IKE 2007 | Standard Multi-agent Framework |

claim paper

Related Content

» Function Optimization with Coevolutionary Algorithms

» Dafo a Multiagent Framework for Decomposable Functions Optimization

» Exploring the Explorative Advantage of the Cooperative Coevolutionary 11 EA

» A Cooperative Coevolutionary Multiobjective Algorithm Using Nondominated Sorting

» Cooptimization algorithms

» Parallel and Distributed Evolutionary Computation with MANIFOLD

» An adaptive coevolutionary Differential Evolution algorithm for largescale optimization

» Hybrid coevolutionary algorithms vs SVM algorithms

» Cooperative Coevolutionary Ensemble Learning

Post Info
More Details (n/a)

Added	31 Oct 2010
Updated	31 Oct 2010
Type	Conference
Year	2004
Where	IKE
Authors	Grégoire Danoy, Pascal Bouvry, Franciszek Seredynski

Comments (0)