PubData Leuphana Repository: Production Planning with Simulated Annealing

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Element	Wert
Ressourcentyp	Arbeitspapier
Titel	Production Planning with Simulated Annealing
DOI	10.48548/pubdata-1171
Handle	20.500.14123/1234
Autor*in	Urban, Karsten-Patrick
Abstract	Combinatorial optimization is still one of the biggest mathematical challenges if you plan and organize the run-ning of a business. Especially if you organize potential factors or plan the scheduling and sequencing of opera-tions you will often be confronted with large-scaled combinatorial optimization problems. Furthermore it is very difficult to find global optima within legitimate time limits, because the computational effort of such problems rises exponentially with the problem size. Nowadays several approximation algorithms exist that are able to solve this kind of problems satisfactory. These algorithms belong to a special group of solution methods which are called local search algorithms. This article will introduce the topic of simulated annealing, one of the most efficient local search strategies. This article summarizes main aspects of the guest lecture Combinatorial Optimi-zation with Local Search Strategies, which was held at the University of Ioannina in Greece in June 1999.
Sprache	Englisch
Schlagwörter	Simulated Annealing; Flow-Shop; Planning; Lokales Suchverfahren; Maschinenbelegung; Planung; Produktion; Reihenfolge
Jahr der Veröffentlichung in PubData	2003
Art der Veröffentlichung	Erstveröffentlichung
Publikationsversion	Entwurf
Datum der Erstveröffentlichung	2003-12-22
Entstehungskontext	Forschung
Fakultät / Abteilung	Frühere Fachbereiche
Alternative(r) Identifier	urn:nbn:de:gbv:luen4-opus4-3051
Verfügbar ab / seit	2024-08-23T07:46:09Z
Archivierende Einrichtung	Medien- und Informationszentrum (Leuphana Universität Lüneburg 02w2y2t16)
Veröffentlicht durch	Medien- und Informationszentrum, Leuphana Universität Lüneburg