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» A New Approach to Improve Particle Swarm Optimization
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SAC
2011
ACM
14 years 4 months ago
New hybrid genetic algorithm for solving optimal communication spanning tree problem
Optimal Communication Spanning Tree (OCST) is a well-known NP-hard problem on the graph that seeks for the spanning tree with the lowest cost. The tree cost depends on the demand ...
Pham Trung Kien, Nguyen Duy Hiep, Huynh Thi Thanh ...
PPSN
2010
Springer
14 years 11 months ago
Improved Dynamic Lexicographic Ordering for Multi-Objective Optimisation
Abstract. There is a variety of methods for ranking objectives in multiobjective optimization and some are difficult to define because they require information a priori (e.g. esta...
Juan Pedro Castro Gutiérrez, Dario Landa-Si...
CEC
2009
IEEE
15 years 8 months 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
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 7 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
2005
Springer
197views Optimization» more  GECCO 2005»
15 years 7 months ago
Breeding swarms: a GA/PSO hybrid
Abstract. In this paper we propose a novel hybrid (GA/PSO) algorithm, Breeding Swarm, combining the strengths of particle swarm optimization with genetic algorithms. The hybrid alg...
Matthew Settles, Terence Soule