Please use this identifier to cite or link to this item:
doi:10.22028/D291-25064
Title: | GeneTS : a relational-functional genetic algorithm for the traveling salesman problem |
Author(s): | Perling, Markus |
Language: | English |
Year of Publication: | 1997 |
OPUS Source: | Kaiserslautern ; Saarbrücken : DFKI, 1997 |
SWD key words: | Künstliche Intelligenz |
DDC notations: | 004 Computer science, internet |
Publikation type: | Report |
Abstract: | This work demonstrates a use of the relational-functional language RelFun for specifying and implementing genetic algorithms. Informal descriptions of the traveling salesman problem and a solution strategy are given. From these a running RelFun application is developed, whose most important parts are presented. This application achieves good approximations to traveling salesman problems by using a genetic algorithm variant with particularly tailored data representations. The feasibility of implementing sizable applications in RelFun is discussed. |
Link to this record: | urn:nbn:de:bsz:291-scidok-39062 hdl:20.500.11880/25120 http://dx.doi.org/10.22028/D291-25064 |
Series name: | Technical memo / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-0071] |
Series volume: | 97-01 |
Date of registration: | 8-Jul-2011 |
Faculty: | SE - Sonstige Einrichtungen |
Department: | SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Files for this record:
File | Description | Size | Format | |
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TM_97_01.pdf | 365,33 kB | Adobe PDF | View/Open |
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