加倍系统中最大TSP贪婪修补启发式算法的渐近最优性
Asymptotic Optimality of the Greedy Patching Heuristic for Max TSP in Doubling Metrics
摘要：
最大旅行商问题（Max~TSP）是在给定的完全赋权图中寻找一个边的总权最大的Hamilton圈。我们证明了，在边的权重是由一个度量空间的有界倍维的情况下，渐近最优解的问题可以找到简单的贪婪修补启发式。以最大权重循环覆盖为起点，该启发式算法迭代地将其循环对修补为一个，以最小化每一步的权重损失。
英文摘要：
The maximum traveling salesman problem (Max~TSP) consists of finding a Hamiltonian cycle with the maximum total weight of the edges in a given complete weighted graph. We prove that, in the case when the edge weights are induced by a metric space of bounded doubling dimension, asymptotically optimal solutions of the problem can be found by the simple greedy patching heuristic. Taking as a start point a maximum-weight cycle cover, this heuristic iteratively patches pairs of its cycles into one minimizing the weight loss at each step.
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