求解旅行商问题的Hopfield方案与拉格朗日与变换混合方法的比较

K. Lau, S.M. Chan, L. Xu
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引用次数: 5

摘要

Xu(1994)提出了一种新的解决组合优化问题的方案,即拉格朗日和变换方法的混合方案(hybrid LT)。将约束条件分为线性常数和约束条件和二元约束条件。用拉格朗日方法处理线性常和约束,将二元约束转化为罚函数或势垒函数。在计算机仿真的基础上,比较了Hopfield网络和Hybrid LT在求解旅行商问题(TSP)中的性能。实验结果表明,Hybrid LT在更快的收敛速度、更快的找到有效解的速度和更短的找到路径方面优于Hopfield网络。
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Comparison of the Hopfield scheme to the hybrid of Lagrange and transformation approaches for solving the traveling salesman problem
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.<>
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