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EVOW
2008
Springer
9 years 3 months ago
An Evolutionary Game-Theoretical Approach to Particle Swarm Optimisation
Abstract. This work merges ideas from two very different areas: Particle Swarm Optimisation and Evolutionary Game Theory. In particular, we are looking to integrate strategies from...
Cecilia Di Chio, Paolo Di Chio, Mario Giacobini
EUROGP
2007
Springer
171views Optimization» more  EUROGP 2007»
9 years 3 months ago
Geometric Particle Swarm Optimisation
Geometric particle swarm optimization (GPSO) is a recently introduced formal generalization of traditional particle swarm optimization (PSO) that applies naturally to both continu...
Alberto Moraglio, Cecilia Di Chio, Riccardo Poli
GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
9 years 5 months ago
Adaptively choosing niching parameters in a PSO
Niching techniques play an important role in evolutionary algorithms. Existing niching methods often require userspecified parameters, limiting their usefulness. This paper propos...
Stefan Bird, Xiaodong Li
PPSN
2004
Springer
9 years 6 months ago
Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic Algorithms
Cancer chemotherapy is a complex treatment mode that requires balancing the benefits of treating tumours using anti-cancer drugs with the adverse toxic side-effects caused by these...
Andrei Petrovski, Bhavani Sudha, John A. W. McCall
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
9 years 7 months ago
Exploring extended particle swarms: a genetic programming approach
Particle Swarm Optimisation (PSO) uses a population of particles that fly over the fitness landscape in search of an optimal solution. The particles are controlled by forces tha...
Riccardo Poli, Cecilia Di Chio, William B. Langdon
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
9 years 7 months ago
Geometric particle swarm optimisation on binary and real spaces: from theory to practice
Geometric particle swarm optimization (GPSO) is a recently introduced formal generalization of traditional particle swarm optimization (PSO) that applies naturally to both continu...
Cecilia Di Chio, Alberto Moraglio, Riccardo Poli
GECCO
2007
Springer
140views Optimization» more  GECCO 2007»
9 years 7 months ago
On the moments of the sampling distribution of particle swarm optimisers
A method is presented that allows one to exactly determine all the characteristics of a PSO’s sampling distribution and explain how it changes over time, in the presence stochas...
Riccardo Poli
CEC
2008
IEEE
9 years 8 months ago
Decentralised distributed multiple objective particle swarm optimisation using peer to peer networks
—This paper describes a distributed particle swarm optimisation algorithm (PSO) based on peer-to-peer computer networks. A number of modifications are made to the more tradition...
Ian Scriven, Andrew Lewis, David Ireland, Junwei L...
SEMWEB
2009
Springer
9 years 8 months ago
MapPSO Results for OAEI 2009
Abstract. This paper presents and discusses the results of the latest developments of the MapPSO system, which is an ontology alignment approach that is based on discrete particle ...
Jürgen Bock, Peng Liu 0002, Jan Hettenhausen
CEC
2009
IEEE
9 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
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