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A Fix-and-Optimize Approach for the Multi-LevelCapacitated Lot Sizing Problem
Helber, Stefan; Sahling, Florian - Universität <Hannover> / Wirtschaftswissenschaftliche … - 2008
-and-optimize algorithm. Each of these programs is optimized over allreal-valued variables, but only a small subset of binary setup variables …
Persistent link: https://www.econbiz.de/10005867423
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(Un)anticipated Technological Change in anEndogenous Growth Model
Conway, Bruce A.; Rosenblatt-Wisch, Rina; … - Swiss National Centre of Competence in Research North … - 2008
This paper examines numerically the impact of a negative exogenousshock to marginal productivity (such as ecological government regulationthat becomes eective at some point in time) in an endogenousnite time growth model with sluggish reallocation of human capital.The policy can be anticipated...
Persistent link: https://www.econbiz.de/10005869073
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A hybrid ACO algorithm for the full truckload transportation problem
Hartl, Richard F.; Doerner, Karl; Reimann, Marc - 2001
In this paper we propose a hybrid ACO approach to solve a full truckload transportation problem. Hybridization is achieved through the use of a problem specific heuristic.(...)
Persistent link: https://www.econbiz.de/10005841609
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A voting-merging clustering algorithm
Dimitriadou, Evgenia; Weingessel, Andreas; Hornik, Kurt - Institut für Informationsverarbeitung und -wirtschaft … - 1999
finding the number of clusters existing in them. The voting part of the algorithm allows us to combine several runs of …
Persistent link: https://www.econbiz.de/10005841714
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Ein hybrider genetischer Algorithmus für das Containerbeladeproblem
Bortfeldt, Andreas; Gehring, Hermann - 1998
Der Beitrag präsentiert einen hybriden genetischen Algorithmus für das Containerbeladeproblem mit quaderförmigen … unter Einbeziehung von Verfahren anderer Autoren belegen eine gute Performance des genetischen Algorithmus vor allem für …The paper presents a hybrid genetic algorithm (GA) for the container loading problem with rectangularly shaped items of …
Persistent link: https://www.econbiz.de/10005844620
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An efficient genetic algorithm for job shop scheduling with tardiness objectives
Mattfeld, Dirk C.; Bierwirth, Christian - 2002
We consider job shop scheduling problems with release and due-dates, as well as various tardiness objectives. To date, no efficient general-purpose heuristics have been developed for these problems. genetic algorithms can be applied almost directly, but come along with apparent weaknesses.
Persistent link: https://www.econbiz.de/10005847538
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Landscape Regularity and Random Walks for the Job-Shop Scheduling Problem
Bierwirth, Christian; Mattfeld, Dirk Christian; Watson, … - 2004
TWe perform a novel analysis of the fitness landscape of thejob-shop scheduling problem (JSP). In contrast to other well-known combinatorial optimization problems, we show that the landscape of the JSP is non-regular, in that the connectivity of solutions is variable.
Persistent link: https://www.econbiz.de/10005847540
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Modeling the Use of Nonrenewable Resources Using a Genetic Algorithm
Schunk, Daniel - Sonderforschungsbereich Rationalitätskonzepte, … - 2003
This paper shows, how a genetic algorithm (GA) can be used to model an economic process: the interaction of profit …
Persistent link: https://www.econbiz.de/10005850470
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Parallel greedy algorithms for packing unequal circles into a strip or a rectangle
Kubach, Timo; Bortfeldt, Andreas; Gehring, Hermann - 2006
Given a finite set of circles of different sizes we study the Strip Packing Problem (SPP) as well as the Knapsack Problem (KP). The SPP asks for a placement of all circles (without overlap) within a rectangular strip of fixed width so that the variable length of the strip is minimized. The KP...
Persistent link: https://www.econbiz.de/10005856271
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A genetic algorithm for the two-dimensional strip-packing problem
Bortfeldt, Andreas - 2005
The paper presents a genetic algorithm (GA) for the two-dimensional strip-packing problem (SPP) with rectangular shaped … pieces. Both the non-guillotinable SPP and the guillotinable SPP can be tackled. The genetic algorithm has been derived from …
Persistent link: https://www.econbiz.de/10005856272