首页> 外文会议>Intelligence in Neural and Biological Systems, 1995. INBS'95, Proceedings., First International Symposium on >Comparison of the Hopfield scheme to the hybrid of Lagrange and transformation approaches for solving the traveling salesman problem
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Comparison of the Hopfield scheme to the hybrid of Lagrange and transformation approaches for solving the traveling salesman problem

机译:Hopfield方案与Lagrange混合方法与用于解决旅行商问题的转换方法的比较

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A novel scheme, the hybrid of Lagrange and transformation approaches (Hybrid LT), was proposed by Xu (1994) to solve a combinatorial optimization problem. It separates the constraints into linear-constant-sum constraints and binary constraints. The linear-constant-sum constraints are treated by the Lagrange approach while the binary constraints are transformed into penalty or barrier functions. This paper compares the performance of the Hopfield net and the Hybrid LT based on computer simulations in solving the traveling salesman problem (TSP). The experimental results show that the Hybrid LT is superior to the Hopfield net for greater speed of convergence, higher rate of finding valid solutions and shorter paths found.
机译:Xu(1994)提出了一种新颖的方案,即Lagrange和变换方法的混合体(Hybrid LT),以解决组合优化问题。它将约束分为线性常数和约束和二进制约束。线性常数和约束通过拉格朗日方法处理,而二进制约束则转换为罚函数或势垒函数。本文比较了基于计算机模拟的Hopfield网络和Hybrid LT在解决旅行商问题(TSP)方面的性能。实验结果表明,Hybrid LT优于Hopfield网络,它具有更快的收敛速度,更高的有效解找到率和更短的路径。

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