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Dynamic Niche Clustering : A Fuzzy Variable Radius Niching Technique for Multimodal Optimisation in GAs
| Content Provider | Semantic Scholar |
|---|---|
| Author | Gan, Justin Warwick, Kevin |
| Copyright Year | 2001 |
| Abstract | This paper describes the recent developments and improvements made to the variable radius niching technique called Dynamic Niche Clustering (DNC) originally described in [4] and [5]. DNC employs a separate population of overlapping fuzzy niches with independent radii which operate in the decoded parameter space and are maintained alongside the normal GA population. We describe a speedup process that can be applied to the initial generation, which greatly reduces the complexity of the initial stages. A split operator is also introduced that is designed to counteract the excessive growth of niches, and it is shown that this improves the overall robustness of the technique. Finally, the effect of local elitism is documented and compared to the performance of the basic DNC technique on a selection of 2D test functions. The paper is concluded with a view to future work to be undertaken on the technique. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.cyber.rdg.ac.uk/people/jgrg/WWW/papers/CEC2001.ps |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Bone structure of radius Cluster analysis Direct numerical control Distribution (mathematics) Document completion status - Documented Dynamic splints Mathematical optimization Multimodal interaction Niche blogging Population Parameter Software release life cycle Speedup statistical cluster |
| Content Type | Text |
| Resource Type | Article |
