Multiheuristic Approach for Resource Leveling Problem in Construction Engineering: Hybrid Approach
Document Type
Article
Publication Date
1-1-1999
Publication Title
Journal of Construction Engineering and Management
Volume
125
Issue
1
First page number:
23
Last page number:
31
Abstract
The fluctuation of required resources causes problems in construction scheduling. Thus, researchers developed resource leveling techniques to minimize the deviation between the resource requirements and the desired resource profile. However, the resource leveling problem, except for small size scheduling problems, cannot be solved with exact optimization methods, because it is defined as a discrete combinatorial problem. Thus, researchers used heuristic approaches to get an acceptable solution that may not necessarily be optimal. A multiheuristic model called a local optimizer and a hybrid model combining the local optimizer with simulated annealing are developed for the solution of resource leveling problems. The computational results indicate that these heuristic models produce reasonably good solutions, and they are viable approaches for complex scheduling networks.
Keywords
Building; Engineering; Heuristic; Heuristic algorithms
Disciplines
Civil and Environmental Engineering | Construction Engineering and Management | Engineering | Structural Engineering
Language
English
Permissions
Use Find in Your Library, contact the author, or interlibrary loan to garner a copy of the item. Publisher policy does not allow archiving the final published version. If a post-print (author's peer-reviewed manuscript) is allowed and available, or publisher policy changes, the item will be deposited.
Repository Citation
Son, J.,
Skibniewski, M. J.
(1999).
Multiheuristic Approach for Resource Leveling Problem in Construction Engineering: Hybrid Approach.
Journal of Construction Engineering and Management, 125(1),
23-31.
http://dx.doi.org/10.1061/(ASCE)0733-9364(1999)125:1(23)