As complexity and size of projects increase so do the problems associated with the scheduling and management of the design, manufacturing and assembly processes. In the context of large projects the ability to oplimise the scheduling and allocation of these processes can also aid in tendering for co
Manpower allocation using genetic annealing
โ Scribed by Nicolas Abboud; Masahiro Inuiguchi; Masatoshi Sakawa; Yoshio Uemura
- Book ID
- 104339597
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 259 KB
- Volume
- 111
- Category
- Article
- ISSN
- 0377-2217
No coin nor oath required. For personal study only.
โฆ Synopsis
In this paper, we focus on a real size manpower allocation problem. It was modeled after a real world problem of distributing the salesmen force over the branches of a company. The problem includes multiple objectives and the number of salesmen at each branch is unspeciยฎed. Conventional integer programming approach and conventional metaheuristics seem to have problems with solving the large size version of this problem. The versatility of our proposed heuristics based on a modiยฎcation of genetic annealing is exempliยฎed through solving the real size manpower allocation problem. For comparison sake, several small sized versions were solved using our method, conventional integer programming approach, and some well known metaheuristics.
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