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A Mushy State Simulated Annealing | ||
| AUT Journal of Modeling and Simulation | ||
| مقاله 8، دوره 43، شماره 2، بهمن 2011، صفحه 59-70 اصل مقاله (290.83 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22060/miscj.2011.174 | ||
| نویسندگان | ||
| K. Shojaee G؛ H. Shakouri G؛ M.B . Menhaj | ||
| چکیده | ||
| It is a long time that the Simulated Annealing (SA) procedure has been introduced as a model-free optimization for solving NP-hard problems. Improvements from the standard SA in the recent decade mostly concentrate on combining its original algorithm with some heuristic methods. These modifications are rarely happened to the initial condition selection methods from which the annealing schedules or the time schedule itself start. There are several parameters in the process of annealing, the adjustment of which affects the overall performance. This paper focuses on the importance of initial temperature and then proposes a lower temperature with low energy to speed up the process, using an auxiliary memory to buffer the best solution. Such an annealing indeed starts from a “mushy state” rather than a quite liquid molten material. The mushy state characteristics indeed depends upon the problems that SA is being applied to solve for. In this paper, the Mushy State Simulated Annealing (MSSA) is fully developed and then applied to the popular Traveling Salesman Problem (TSP). The mushy state may be obtained by some simple methods like crossover elimination. A very fast version of a Wise Traveling Salesman, who starts from a randomly chosen city and seeks for the nearest one as the next, is also applied to initiate SA by a low-energy, low-temperature state. This fast method results in quite accurate solutions compared to the methods recently cited in the literature. | ||
| کلیدواژه‌ها | ||
| Combinatorial Optimization؛ Traveling Salesman Problem؛ Simulated Annealing؛ Initial Condition | ||
| عنوان مقاله [English] | ||
| A Mushy State Simulated Annealing | ||
| چکیده [English] | ||
| It is a long time that the Simulated Annealing (SA) procedure has been introduced as a model-free optimization for solving NP-hard problems. Improvements from the standard SA in the recent decade mostly concentrate on combining its original algorithm with some heuristic methods. These modifications are rarely happened to the initial condition selection methods from which the annealing schedules or the time schedule itself start. There are several parameters in the process of annealing, the adjustment of which affects the overall performance. This paper focuses on the importance of initial temperature and then proposes a lower temperature with low energy to speed up the process, using an auxiliary memory to buffer the best solution. Such an annealing indeed starts from a “mushy state” rather than a quite liquid molten material. The mushy state characteristics indeed depends upon the problems that SA is being applied to solve for. In this paper, the Mushy State Simulated Annealing (MSSA) is fully developed and then applied to the popular Traveling Salesman Problem (TSP). The mushy state may be obtained by some simple methods like crossover elimination. A very fast version of a Wise Traveling Salesman, who starts from a randomly chosen city and seeks for the nearest one as the next, is also applied to initiate SA by a low-energy, low-temperature state. This fast method results in quite accurate solutions compared to the methods recently cited in the literature. | ||
| کلیدواژه‌ها [English] | ||
| Combinatorial Optimization, Traveling Salesman Problem, Simulated Annealing, Initial Condition | ||
| مراجع | ||
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[31] Hamed Shakouri G., kambiz shojaee, " Investigation on the choice of the initial temperature in the Simulated Annealing: A Mushy State SA for TSP " 17th Mediterranean Conference on Control Automation, MED'09 Thessaloniki, Greece on June 24-26, 2009. | ||
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