Authors: | Mehnen, Jörn Rudolph, Günter Weinert, Klaus |
Title: | Dynamic Neighborhood Structures in Parallel Evolution Strategies |
Language (ISO): | en |
Abstract: | Parallelizing is a straightforward approach to reduce the total computation time of evolutionary algorithms. Finding an appropriate communication network within spatially structured populations for improving convergence speed and convergence probability is a difficult task. A new method that uses a dynamic communication scheme in an evolution strategy will be compared with conventional static and dynamic approaches. The communication structure is based on a socalled diffusion model approach. The links between adjacent individuals are dynamically chosen according to deterministic or probabilistic rules. Due to self-organization effects, efficient and stable communication structures are established that perform robust and fast on a multimodal test function. |
URI: | http://hdl.handle.net/2003/5411 http://dx.doi.org/10.17877/DE290R-15247 |
Issue Date: | 2001-10-30 |
Provenance: | Universität Dortmund |
Appears in Collections: | Sonderforschungsbereich (SFB) 531 |
Files in This Item:
File | Description | Size | Format | |
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ci112.pdf | DNB | 247.49 kB | Adobe PDF | View/Open |
ci112.ps | 653.83 kB | Postscript | View/Open |
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