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
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;
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
DOI :
10.1109/KES.1998.725831
