随着研究的深入,TSP问题已经演化成好多版本。本文的C程序对于对称和非对称的版本都适用。 遗传算法: 遗传算法(Genetic Algorithm),也称进化算法,是依据生物进化的过程而提出的一种启发式算法,由美国的J.Holland于1975年首次提出。其主要特点是依据生物进化中的“优胜劣汰”或者“竞争”法作为问题的解的选择依据。直接对...
Then, each time the algorithm finds a new best solution a line best iteration tours time is added, where "best" is the tour length of the best-so-far solution; iteration is the iteration number in which this solution is found; tours is the number of solutions constructed so far (typica...
Initiation of this paper demarcates Genetic Algorithm, as it paradigm shift in soft computing to solve optimization problems. This paper perposed the application of GAs to TSP by examining combinations on different algorithms for the binary and unary operators used to generate better solutions and min...
Theorem1: Christofide's algorithm在TSP上的近似比为1.5 proof: c ( F ) < c ( C ∗ ) , 因为至少比OPT少一条边 如果能够证明$c(M)\leq \frac{1}{2}c(C^{})$, 则$c(C^{A}) \leq c(F) + C(M) < \frac{3}{2} c(C^{})$ 令1,...,2m为T中的奇...
An LP-based 3/2-approximation algorithm for the graphic s-t path TSP Gao, ZhihanAn, H.-C., Kleinberg, R., and Shmoys, D.B., Improving Christofides' algorithm for the s-t path TSP. Proceedings of the 44th Annual... Z Gao 被引量: 1发表: 2013年 Improving on Best-of-Many-Christ...
Ze WangChi Man WongAgostinho C. RosaTao QianFeng Wan 原文链接 谷歌学术 必应学术 百度学术 An Enhanced Lattice Algorithm for Range Estimation Using Noisy Measurement With Phase Ambiguity. Wenchao LiXuezhi WangBill Moran 原文链接 谷歌学术 必应学术 ...
A HEURISTIC ALGORITHM FOR TSP OF COMPLETE GRAPHChandra KanakBoraSameer Mohammad
关键词: Generalized minimum spanning tree Generalized travelling salesman Grid clusters Approximation algorithm DOI: 10.1007/978-3-319-26626-8_9 被引量: 5 年份: 2015 收藏 引用 批量引用 报错 分享 全部来源 免费下载 求助全文 Springer Semantic Scholar (全网免费下载) Semantic Scholar 掌桥科研 dx.doi...
algorithm in which individual ants each live long enough to explore multiple solutions is introduced. Results are presented that show that enabling ants to learn from their own prior experience in addition to the collective wisdom of the colony improves performance on two standard test TSP data ...
The next class starts in the next Friday. we have one hour wrap-up time. You may want to bring your laptop. Be ready to explain your code and algorithm. After the class, you have one week to review other students' code: You are expected to send at least one pull request in this ...