Arbeitspapier
A comparison of genetic and greedy randomized algorithms for medium-to-short-term audit-staff scheduling
Based upon an empirical survey among the 200 biggest CPA firms in Germany an hierarchical modeling framework for audit-staff scheduling with three levels has been developed. For the second level, the so-called medium-to-short-term planning, a binary optimization model is introduced which is closely related to resource-constrained project scheduling. In an extensive computational study several genetic algorithms (GA) with and without domain-specific knowledge as well as a greedy randomized algorithm (RA) are investigated. Besides introducing a generalization concerning the representation of the genes of a GA which is applicable to a wide range of recent procedures it is proved that the RA is a special case of a GA. Furthermore, we observed that a GA of a modest population size with domain-specific knowledge performed best if at least a certain number of individuals is generated.
- Sprache
-
Englisch
- Erschienen in
-
Series: Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel ; No. 356
- Klassifikation
-
Management
- Thema
-
Local Search
Genetic Algorithms
Greedy Randomized Algorithms
Regret-Based Biased Random Sampling
Project Management / Scheduling
Audit-Staff Scheduling
Wirtschaftsprüfung
Personalmanagement
Projektmanagement
Theorie
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Salewski, Frank
Bartsch, Thomas
- Ereignis
-
Veröffentlichung
- (wer)
-
Universität Kiel, Institut für Betriebswirtschaftslehre
ZBW – Leibniz Information Centre for Economics
- (wo)
-
Kiel
- (wann)
-
1994
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Salewski, Frank
- Bartsch, Thomas
- Universität Kiel, Institut für Betriebswirtschaftslehre
- ZBW – Leibniz Information Centre for Economics
Entstanden
- 1994
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