DocumentCode :
1814782
Title :
Proposed methodology for comparing schedule generation schemes in construction resource scheduling
Author :
Kim, Jin-Lee
Author_Institution :
Dept. of Civil Eng. & Constr. Eng. Manage., California State Univ., Long Beach, Long Beach, CA, USA
fYear :
2009
fDate :
13-16 Dec. 2009
Firstpage :
2745
Lastpage :
2750
Abstract :
This paper proposes a methodology to compare the serial scheme with the parallel scheme in a decoding procedure of permutation-based genetic algorithm for construction resource scheduling. Elitist genetic algorithm based on the serial scheme, which was previously developed by the author, is used as a platform to integrate the parallel scheme. Since two schedule generation schemes have different mechanisms, it is meaningful to demonstrate the effects of the scheme on the performance of an algorithm. The ultimate goal of this study is to address the issue with regard to which of the schedule generation schemes will perform better for an arbitrary instance of resource scheduling problems. Thirty problems are solved here to compare their project durations according to the scheme. Scheduling results indicate that Elitist genetic algorithm using the serial scheme provides better solutions than the one using the parallel scheme.
Keywords :
construction industry; genetic algorithms; project management; scheduling; construction resource scheduling; decoding procedure; elitist genetic algorithm; parallel scheme; permutation-based genetic algorithm; project durations; resource scheduling problems; schedule generation schemes; serial scheme; Civil engineering; Decoding; Dictionaries; Genetic algorithms; Optimal scheduling; Processor scheduling; Project management; Research and development management; Scheduling algorithm; Software packages;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference (WSC), Proceedings of the 2009 Winter
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-5770-0
Type :
conf
DOI :
10.1109/WSC.2009.5429252
Filename :
5429252
Link To Document :
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