Authors: | Rudolph, Günter |
Title: | Evolutionary Search under Partially Ordered Fitness Sets |
Language (ISO): | en |
Abstract: | The search for minimal elements in partially ordered sets is a generalization of the task of finding Pareto-optimal elements in multi-criteria optimization problems. Since there are usually many minimal elements within a partially ordered set, a population-based evolutionary search is, as a matter of principle, capable of finding several minimal elements simultaneously and gains therefore a steadily increase of popularity. Here, we present an evolutionary algorithm which population converges with probability one to the set of minimal elements within a finite number of iterations. |
URI: | http://hdl.handle.net/2003/5372 http://dx.doi.org/10.17877/DE290R-15257 |
Issue Date: | 2001-10-16 |
Provenance: | Universität Dortmund |
Appears in Collections: | Sonderforschungsbereich (SFB) 531 |
Files in This Item:
File | Description | Size | Format | |
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ci67.pdf | DNB | 66.18 kB | Adobe PDF | View/Open |
ci67.ps | 75.82 kB | Postscript | View/Open |
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This item is protected by original copyright
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