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Advances in bio-inspired computing for combinatorial optimization problems Titelvorschau
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Advances in bio-inspired computing for combinatorial optimization problems

Verfasser/in: Camelia-Mihaela Pintea
Verlag: Berlin : Springer, [2013?] ©2014
Serien: Intelligent systems reference library, v.57
Ausgabe/Format   E-Book : Dokument : EnglischAlle Ausgaben und Formate anzeigen
Datenbank:WorldCat
Zusammenfassung:
"Advances in Bio-inspired Combinatorial Optimization Problems" illustrates several recent bio-inspired efficient algorithms for solving NP-hard problems. Theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots are described. Large-scale optimization problems, for example: the Generalized Traveling Salesman Problem and the Railway Traveling Salesman Problem, are solved and  Weiterlesen…
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Gattung/Form: Electronic books
Medientyp: Dokument, Internetquelle
Dokumenttyp: Internet-Ressource, Computer-Datei
Alle Autoren: Camelia-Mihaela Pintea
ISBN: 9783642401794 3642401791
OCLC-Nummer: 857586057
Beschreibung: 1 online resource (x, 188 pages) : illustrations.
Inhalt: Part I. Biological Computing and Optimization --
Part II. Ant Algorithms --
Part III. Bio-inspired Multi-Agent Systems --
Part IV. Applications with Bio-inspired Algorithms --
Part V. Conclusions and Remarks.
Serientitel: Intelligent systems reference library, v.57
Verfasserangabe: Camelia-Mihaela Pintea.
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Abstract:

This book illustrates recent bio-inspired efficient algorithms for solving NP-hard problems. Discusses theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots,  Weiterlesen…

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