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Self-organizing map (SOM) proposed by Kohonen has obtained certain achievements in solving the traveling salesman problem (TSP).To improve Kohonen SOM,an effective initialization and parameter modification method is discussed to obtain a faster convergence rate and better solution.Therefore,a new improved self-organizing map (ISOM) algorithm is introduced and applied to four traveling salesman problem instances for experimental simulation,and then the result of ISOM is compared with those of four SOM algorithms:AVL,KL,KG and MSTSP.Using ISOM,the average error of four traveling salesman problem instances is only 2.895 0%,which is greatly better than the other four algorithms:8.51% (AVL),6.147 5 % (KL),6.555 % (KG) and 3.420 9 % (MSTSP).Finally,ISOM is applied to two practical problems:the Chinese 100 cities-TSP and 102 counties-TSP in Shanxi Province,and the two optimal touring routes are provided to the tourists. 相似文献
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神经网络在组合优化问题中的应用 总被引:2,自引:0,他引:2
目的 研究神经网络在组合最优化问题中的应用。方法 通过讨论Hopfield神经网络模型,建立最优化问题的计算能量函数。结果和结论 给出组合数字中八皇后问题的计算能量函数,使八皇后问题的解对应计算能量函数的最小值,并用C语言进行计机模拟,得到其全部解。 相似文献
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广西凤山县久隆金矿产出于晚古生代碳酸盐岩隆起边缘,分布于二叠系和三叠系接触带碎屑岩一侧,矿体呈陡立的透镜状、似层状产于断裂中。上二叠统碳酸盐岩与中三叠统陆源碎屑岩之间,发育典型的古岩溶沉积不整合构造,后期断裂构造叠加、复合在不整合面上,形成高龙式微粒型金矿。该矿床以沉积间断面为基础,叠加、复合后期构造,产于沉积间断面之"上"的断裂构造带中,以构造为主要控矿因素,沉积间断面为重要控矿因素,受断控与层控等多重因素复合控制,经多期构造活动叠加形成,可称之为沉积间断断面型金矿。滇黔桂"金三角"应从不同控制因素和产出模式形成于同一地质作用的背景出发,考虑层控与断控等多重因素复合、叠加对成矿的控制作用,构造叠加、复合部位是寻找复合型矿床、原生矿和深部隐伏矿床的重点。 相似文献
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针对标准BP算法收敛速度慢和易陷入局部极小值等缺陷,提出了采用弹性BP算法改进标准BP算法,并将此算法应用于单晶硅(100)微悬臂梁加载后载荷与挠度间关系拟合的实验中(实验在Matlab7.0环境下实现).实验拟合结果表明:在相同载荷下挠度随微悬臂梁梁长的增长而增大,随其宽梁宽的增宽而减少,随其梁数的增多而减少,与理论计算结果相一致.这些表明了BP神经网络在微悬臂梁载荷与挠度关系研究中的适用性.对进一步分析微悬臂梁的可靠性和设计微悬臂梁都具有一定的参考价值. 相似文献
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Ant colony system(ACS),a kind of ant colony algorithm,is an effective way of solving shortest path problem,however,it has some defects.In this paper,ACS is improved for avoiding getting stuck in a local minimum,whose defects mainly include the following two aspects:initial pheromone solution and pheromone updating.In order to learn the advantages of improved ant colony system(IACS),experiments are conducted for some times.First,it is applied to 8 traveling salesman problem(TSP)instances,and compared with three self-organizing map(SOM)algorithms.Then the author analyzes the space complexity and convergence of two algorithms and compares them.Simulation results show that IACS has much better performance in solving TSP,and it has certain theoretical reference value and practical significance. 相似文献
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In order to inhibit Free Riding in Peer-to-Peer (P2P) file-sharing systems, the Free Riding In-hibition Mechanism Based on User Behavior (IM-BUB) is proposed. IMBUB considers the regularity of user behavior and models user behavior by ana-lyzing many definitions and formulas. In IMBUB, Bandwidth Allocated Ratio, Incentive Mechanism Based on User Online Time, Double Reward Mech-anism, Incentive Mechanism of Sharing for Permis-sion and Inhibition Mechanism of White-washing Behavior are put forward to inhibit Free Riding and encourage user sharing. A P2P file system BITShare is designed and realized under the conditions of a campus network environment. The test results show that BITShare's Query Hit Ratio has a significant increase from 22% to 99% , and the sharing process in BITShare is very optimistic. Most users opt to use online time to exchange service quality instead of white-washing behavior, and the real white-ish-ing ratio in BITShare is lower than 1% . We confirm that IMBUB can effectively inhibit Free Riding be-havior in P2P file-sharing systems. 相似文献