Optimal Determination of Simulated Annealing Parameters using TOPSIS

Efficiency of a Meta heuristic approach depends effectively on the right and suitable choice of its parameters. Meta heuristics are used to develop qualified feasible solutions. They are used while common commercial soft wares can't find exact solutions in a logical computational time. They are random approaches as different target values might be gained during consecutive repetitions of the algorithm. An appropriate set of parameters avoids the problem to produce sporadic target values and controls the time to get coherent solutions. TOPSIS (Technique for Order Preference by Similarity to Ideal) is one of Multi Attribute Decision Making (MADM) approaches used in defining the best alternative in a complicated decision making problem which is used here to set the parameters of a simulated annealing algorithm in their suitable levels. This helps the algorithm to find good solutions besides controlling the time spent to get these values.