DocumentCode
2308194
Title
Evaluation of scatter search and genetic algorithm at resource constrained project scheduling problems
Author
Sari, T. ; Cakir, V. ; Kilic, S. ; Ece, E.
Author_Institution
Turkish Air Force Acad., Istanbul, Turkey
fYear
2011
fDate
23-25 June 2011
Firstpage
127
Lastpage
130
Abstract
Basic elements of project planning are activity scheduling and resource allocation. In this study, meta-heuristic methods reviewed as an appropriate solution tool for resource-constrained project scheduling problem and the success of two meta-heuristic methods discussed. Resource constrained project scheduling problem which is an NP-hard problem solved with scatter search and genetic algorithm. Both algorithms do not disrupt the feasible search space during population generation. Algorithms compared in terms of resulting time and working principles.
Keywords
genetic algorithms; project management; resource allocation; scheduling; NP-hard problem; activity scheduling; genetic algorithm; meta-heuristic methods; project planning; resource allocation; resource constrained project scheduling; scatter search; Algorithm design and analysis; Flowcharts; Genetic algorithms; Job shop scheduling; Planning; Search problems;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Engineering Systems (INES), 2011 15th IEEE International Conference on
Conference_Location
Poprad
Print_ISBN
978-1-4244-8954-1
Type
conf
DOI
10.1109/INES.2011.5954732
Filename
5954732
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