Discrete Gravitational Search Algorithm (DGSA) applied for the Close-Enough Travelling Salesman Problem (TSP / CETSP)

M. Antonescu, C. Bîră
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引用次数: 1

Abstract

TSP (travelling salesman problem) is a NPhard problem, and several exact and heuristics solutions exist. Exact solutions consume too many resources (computation and time) and heuristic solutions do not provide global optimum path. We propose another heuristic variation of the TSP and CETSP solver (DGSA-TSP and DGSA-CETSP), based on discrete gravitational search algorithm and two novel rubber-band algorithm (RBA) implementations; we benchmark it against the GSOA (growing self-organizing array) variant and obtain similaraccuracy results.
离散引力搜索算法(DGSA)在足够近旅行商问题(TSP / CETSP)中的应用
旅行商问题(TSP)是一个NPhard问题,存在几个精确的启发式解。精确解消耗太多的资源(计算和时间),启发式解不能提供全局最优路径。基于离散引力搜索算法和两种新颖的橡皮筋算法(RBA)实现,我们提出了TSP和CETSP求解器的另一种启发式变体(DGSA-TSP和DGSA-CETSP);我们将其与GSOA(增长自组织数组)变体进行基准测试,并获得类似的准确性结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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