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known to be NP-hard, heuristics have become a main research interest. Unfortunately, there has not been done much research …
Persistent link: https://www.econbiz.de/10011558787
feasible solutions as well. Hence, we also have two optimization guided heuristics. A computational study consisting of a set …
Persistent link: https://www.econbiz.de/10011558737
, two heuristics are presented. One heuristic is based on the result of the column generation procedura while the other is …
Persistent link: https://www.econbiz.de/10011583028
NP-completeness and other complexity proofs often merely State that the problem at hand is a generalization of some other intractable problem. This proof technique relies on the widely accepted assumption that complexity results hold regardless of the model formulation used to represent the...
Persistent link: https://www.econbiz.de/10011594620
. Priority rule-based methods still constitute the most important class of these heuristics. Of these, in turn, parameterized … their effectiveness considerably. We extend this approach by integrating heuristics and case-based reasoning (CBR), an … performance similar or close to state-of-the-art heuristics. In addition, the analysis undertaken provides new insight into the …
Persistent link: https://www.econbiz.de/10011558731
heuristics do better. In priority rule-based scheduling, attempts to remedy this have been made by combining simple priority …
Persistent link: https://www.econbiz.de/10011558738
. Rather, any given heuristic may do well on some instances but will do worse on others. Indeed, even the 'best' heuristics …
Persistent link: https://www.econbiz.de/10011558756
Der Beitrag untersucht die Vorteilhaftigkeit der Investition in private Photovoltaik-Aufdachanlagen (PV-Anlagen). Die Förderung durch das Energieeinspeisegesetz (EEG) bei Einspeisung des selbsterzeugten Stroms in das öffentliche Stromnetz sowie die hohen Vergütungssätze für den...
Persistent link: https://www.econbiz.de/10010303891
In this paper we propose a new heuristic to solve the well-known multiple resource-constrained project scheduling problem. The method is basically a biased random sampling procedure which shows extremely good results by use of the following features: A problem-based selection of the solution...
Persistent link: https://www.econbiz.de/10011613750
This paper introduces a new general framework for genetic algorithms to solve a broad range of optimization problems. When designing a genetic algorithm, there may be several alternatives for a component such as crossover, mutation or decoding procedure, and it may be difficult to determine the...
Persistent link: https://www.econbiz.de/10011558747