Title :
A fuzzy genetic optimization algorithm for an assignment problem
Author :
Hajri-Gabouj, Sonia
Author_Institution :
Inst. Nat. des Sci. Appliquees etd e Technologie, Tunis, Tunisia
Abstract :
In this paper, a fuzzy genetic approach is proposed for solving a multi objective assignment problem where tasks have to be assigned to operators so as to minimize total execution time without exceeding neither a critical value of load unbalance nor a predefined interoperator communication cost. The fuzzy approach determines the priority of the objectives while the GA approach generates the best solution.
Keywords :
fuzzy logic; genetic algorithms; optimisation; assignment problem; fuzzy genetic approach; fuzzy logic; genetic algorithm; multi objective assignment problem; Clothing; Communication system control; Constraint optimization; Context; Cost function; Fuzzy logic; Genetic algorithms; Manufacturing; Mathematical model; Sliding mode control;
Conference_Titel :
Systems, Man and Cybernetics, 2002 IEEE International Conference on
Print_ISBN :
0-7803-7437-1
DOI :
10.1109/ICSMC.2002.1176044
