DocumentCode
2230231
Title
Fuzzy manpower allocation using the mutate and spread metaheuristic
Author
Abboud, Nicolas ; Sakawa, M.
Author_Institution
Dept. of Ind. & Syst. Eng., Hiroshima Univ., Japan
Volume
1
fYear
1998
fDate
21-23 Apr 1998
Firstpage
87
Abstract
In this paper, we present a metaheuristic solution method for a simulation based on a real world manpower allocation problem. The problem includes 7,095 0-1 variables making stochastic algorithms the most viable strategy. A fuzzy model was used to represent and deal with the multiple objectives expressed in linguistic terms by the decision maker. The mutate and spread metaheuristic, that is used in this paper, keeps a diversified population where only a good solution building blocks are permitted to spread
Keywords
fuzzy set theory; heuristic programming; management science; personnel; 0-1 variables; diversified population; fuzzy manpower allocation; heuristic; multiple objectives; mutate-and-spread metaheuristic; stochastic algorithms; Evolutionary computation; Fuzzy sets; Genetic algorithms; Genetic mutations; Linear programming; Marketing and sales; Modeling; Robustness; Stochastic processes; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge-Based Intelligent Electronic Systems, 1998. Proceedings KES '98. 1998 Second International Conference on
Conference_Location
Adelaide, SA
Print_ISBN
0-7803-4316-6
Type
conf
DOI
10.1109/KES.1998.725831
Filename
725831
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