Sciweavers

52 search results - page 2 / 11
» An Evolutionary Game-Theoretical Approach to Particle Swarm ...
Sort
View
CEC
2008
IEEE
14 years 8 days ago
Solving dynamic multi-objective problems with vector evaluated particle swarm optimisation
— Many optimisation problems are multi-objective and change dynamically. Many methods use a weighted average approach to the multiple objectives. This paper introduces the usage ...
Mardé Greeff, Andries Petrus Engelbrecht
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
13 years 12 months ago
A new collaborative evolutionary-swarm optimization technique
A new hybrid approach to optimization in dynamical environments called Collaborative Evolutionary-Swarm Optimization (CESO) is presented. CESO tracks moving optima in a dynamical ...
Rodica Ioana Lung, D. Dumitrescu
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
13 years 12 months ago
An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments
The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
Oliver Kramer, Bartek Gloger, Andreas Goebels
GECCO
2009
Springer
132views Optimization» more  GECCO 2009»
13 years 3 months ago
Cooperative micro-particle swarm optimization
Cooperative approaches have proved to be very useful in evolutionary computation due to their ability to solve efficiently high-dimensional complex problems through the cooperatio...
Konstantinos E. Parsopoulos
CEC
2009
IEEE
14 years 16 days ago
Dynamic search initialisation strategies for multi-objective optimisation in peer-to-peer networks
Abstract— Peer-to-peer based distributed computing environments can be expected to be dynamic to greater of lesser degree. While node losses will not usually lead to catastrophic...
Ian Scriven, Andrew Lewis, Sanaz Mostaghim