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首页> 外文期刊>Journal of computational and theoretical nanoscience >Firefly Algorithm Solving Multiple Traveling Salesman Problem
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Firefly Algorithm Solving Multiple Traveling Salesman Problem

机译:解决多重旅行商问题的萤火虫算法

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摘要

The multiple traveling salesman problem (mTSP) is a generalization of the well-known traveling salesman problem (TSP), where more than one salesman is allowed to be used in the solution. Firstly, a kind of equal-task multiple traveling salesman problem (ET-mTSP) was proposed and its corresponding mathematical model was constructed; secondly, firefly algorithm was introduced to solve this problem, and a series of discrete operations were conducted to adapt to it. Standard firefly algorithm was improved to be discrete firefly algorithm, also the general methods and steps were presented to solve the ET-mTSP. And the algorithm had a good performance for solving ET-mTSP. The performance of FA is significantly better than GA for solving such ET-mTSP.
机译:多重旅行推销员问题(mTSP)是众所周知的旅行推销员问题(TSP)的概括,其中允许在解决方案中使用多个推销员。首先,提出了一种等任务多旅行商问题(ET-mTSP),并建立了相应的数学模型。其次,引入萤火虫算法来解决该问题,并进行了一系列离散操作以适应该问题。将标准萤火虫算法改进为离散萤火虫算法,并提出了解决ET-mTSP的通用方法和步骤。该算法在解决ET-mTSP问题上具有良好的性能。在解决此类ET-mTSP方面,FA的性能明显优于GA。

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