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
Link To Document :
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