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Adjustment of the Primitive Parameters of the Simulated Annealing Heuristic


Affiliations
1 Islamic Azad University, Qazvin Branch, Faculty of Industrial and Mechanical Engineering, Qazvin, Iran, Islamic Republic of
 

In this paper, the best setting for primitive parameters of simulated annealing fitted on traveling salesman problem is selected by using the design of experiment, response surface methodology and goal programming. There are 6 parameters in that 3 of them are tuned on two-up and down- levels. The three others are tuned on multi levels. A factorial plan 23 with 4 central points is used for two-level parameters. Multilevel parameters are tuned by design of experiment. At the end a goal programming model is used to select the best parameters.

Keywords

Traveling Salesman Problem, Response Surface Methodology, Design of Experiment, Simulated Annealing, Goal Programming
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  • Adjustment of the Primitive Parameters of the Simulated Annealing Heuristic

Abstract Views: 563  |  PDF Views: 148

Authors

Vahid Majazi Dalfard
Islamic Azad University, Qazvin Branch, Faculty of Industrial and Mechanical Engineering, Qazvin, Iran, Islamic Republic of

Abstract


In this paper, the best setting for primitive parameters of simulated annealing fitted on traveling salesman problem is selected by using the design of experiment, response surface methodology and goal programming. There are 6 parameters in that 3 of them are tuned on two-up and down- levels. The three others are tuned on multi levels. A factorial plan 23 with 4 central points is used for two-level parameters. Multilevel parameters are tuned by design of experiment. At the end a goal programming model is used to select the best parameters.

Keywords


Traveling Salesman Problem, Response Surface Methodology, Design of Experiment, Simulated Annealing, Goal Programming

References





DOI: https://doi.org/10.17485/ijst%2F2011%2Fv4i6%2F30079