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
Publisher: Universität Dortmund
Appears in Collections:Sonderforschungsbereich (SFB) 531

Files in This Item:
File Description SizeFormat 
ci112.pdfDNB247.49 kBAdobe PDFView/Open
ci112.ps653.83 kBPostscriptView/Open


This item is protected by original copyright



All resources in the repository are protected by copyright.