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Comparison of several intelligent algorithms for solving TSP problem in industrial engineering

机译:若干智能算法求解工业工程中的智能算法

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The paper presents three intelligent algorithms, namely, basic genetic algorithm, Hopfield neural network and basic ant colony algorithm to solve the TSP problem. Then different algorithms are compared in the perspectives of time complexity, space complexity, the advantages and disadvantages of the calculation results, and difficulty level of realization. We use the application of paired comparison matrix to make comprehensive evaluation, and then give the value of comprehensive evaluation in engineering.
机译:本文提出了三种智能算法,即基本遗传算法,Hopfield神经网络和基本蚁群算法来解决TSP问题。然后在时间复杂度,空间复杂性,计算结果的优点和缺点的角度下比较不同的算法,以及难度实现。我们使用配对的比较矩阵的应用进行综合评估,然后给予工程综合评估值。

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