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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Owen, A. Harvey, I. |
| Copyright Year | 2007 |
| Description | Author affiliation: Dept. of Informatics, Sussex Univ., Brighton (Owen, A.; Harvey, I.) |
| Abstract | The concept of 'neutral networks' in fitness landscapes - where amongst any rugged terrain there may also be connected regions or pathways over which solution fitness does not change - has been shown to be of significance to the use of evolutionary algorithms. To our knowledge this important aspect of the fitness landscape has not previously been examined in the context of particle swarm optimisation (PSO). The standard PSO algorithm is here shown to be inadequate for optimisation tasks where such neutrality exists; we investigate modifications of a standard PSO and compare their performances on various novel fitness landscapes that contain neutrality. One simple modification to the standard PSO algorithm is shown to enable significantly improved functionality upon neutral landscapes, with no compromise to operation upon non-neutral terrains |
| Starting Page | 258 |
| Ending Page | 265 |
| File Size | 316495 |
| Page Count | 8 |
| File Format | |
| ISBN | 1424407087 |
| DOI | 10.1109/SIS.2007.367946 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-04-01 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Visualization Adaptive systems Evolutionary computation Search problems Standards development Particle swarm optimization Informatics Joining processes Testing Genetic algorithms |
| Content Type | Text |
| Resource Type | Article |
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