| 基于退火策略的混沌神经网络及其在TSP中的应用 |
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| 引用本文： | 翁妙凤,高晶.基于退火策略的混沌神经网络及其在TSP中的应用[J].小型微型计算机系统,2002,23(5):574-576. |
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| 作者姓名： | 翁妙凤 高晶 |
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| 作者单位： | 1. 华东船舶工业学院,计算机系,江苏,镇江,212003
2. 沈阳师范大学,数学系,辽宁,沈阳,110034 |
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| 摘 要： | 本文主要研究混沌模拟退火神经网络（CSAN）在求解TSP中的应用。我们采用了四种GSAN模型，分别将它们对15、20、50个城市的TSP求解结果比较，并研究其模型参数的设置对TSP优化解的影响。仿真结果表明，CSAN比HNN具有更丰富和更为灵活的动力学特性，从而具有更强的搜索全局最优解或近似全局最优解的能力。
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| 关 键 词： | 退火策略 混沌神经网络 TSP 旅行商问题 目标函数 |
| 文章编号： | 1000-1220(2002)05-0574-03 |
Chaotic Neural Network Based on Annealing Strategy and Their Application to TSP |
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| WENG Miao feng,CAO Jing.Chaotic Neural Network Based on Annealing Strategy and Their Application to TSP[J].Mini-micro Systems,2002,23(5):574-576. |
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| Authors: | WENG Miao feng CAO Jing |
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| Abstract: | In this paper,We mainly do researches on using chaotic neural network based on simulated annealing(CSAN) to solve TSP. We'll introduce four chaotic neural network (CSAN)models and use them on TSP of 15?20?50 cities,then compare with conclusion.TSP resultions about the effect of each papamater of CSAN are summed up.simulation result have shown that CSAN has richer and and more flexible dynamics rather than HNN like only with point attractors, so that it can be expected to have higher ablity of searching for globally optimal or near optimal solutions. |
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| Keywords: | chaotic neural network annealing strategy travelling salesman problem |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
