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Soft Computing
Erschienen in: Soft Computing 5/2013

01.05.2013 | Methodologies and Application

Neighborhood field for cooperative optimization

verfasst von: Zhou Wu, Tommy W. S. Chow

Erschienen in: Soft Computing | Ausgabe 5/2013

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Abstract

Inspired by the biological evolution, local cooperation behaviors have been modeled in function optimizations for providing effective search methods. This paper proposes a new meta-heuristic algorithm named Neighborhood Field Optimization algorithm (NFO), which totally utilizes the local cooperation of individuals. This paper also analyzes how the local cooperation helps optimization, which is modeled as the neighborhood field. The proposed NFO is compared with other widely used evolutionary algorithms in intensive simulation under different benchmark functions. The presented results show that NFO is able to solve multimodal problems globally, and thus the cooperation behavior is proven its significance to model a search method.
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Metadaten
Titel
Neighborhood field for cooperative optimization
verfasst von
Zhou Wu
Tommy W. S. Chow
Publikationsdatum
01.05.2013
Verlag
Springer-Verlag
Erschienen in
Soft Computing / Ausgabe 5/2013
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-012-0955-9

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