S-Metaheuristics Approach to Solve Traveling Salesman Problem

A. Chandra, Aulia Naro
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Abstract

Metaheuristic algorithm is a state of the art optimization method which suitable for solving large and complex problem. Single solution technique – Smetaheuristic is one of metaheuristic algorithm that search near optimal solution and known as exploitation based. The research conducted to seek a better solution for deliverying goods to 29 destinations by comparing two well known optimization methods that can produce the shortest distance: Simulated Annealing (SA) and Tabu Search (TS). The result shows that TS – 107 KM has a shorter distance than SA – 119 KM. Exploration based method should be conducted for next research to produce information in which one is a better method
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求解旅行商问题的s -元启发式方法
元启发式算法是一种适用于求解大型复杂问题的优化方法。单解技术- Smetaheuristic是一种搜索接近最优解的元启发式算法,被称为基于挖掘的元启发式算法。该研究通过比较模拟退火(SA)和禁忌搜索(TS)两种已知的最短距离优化方法,为向29个目的地配送货物寻求更好的解决方案。结果表明,TS - 107 KM比SA - 119 KM距离短。基于探索的方法应该进行下一步的研究,以产生信息,其中一个是更好的方法
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