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在上海市重点发展的九大高新技术领域,对自然计算的内涵及应用进行了简介,综述了自然计算内涵的各类技术,在国内外九大高新技术领域的应用现状。通过应用现状对比,分析国内外应用的差距与优势,提出相应的改进意见,最后对自然计算进一步的应用前景进行了总结与展望。
Abstract:The scope of the key nine high-tech fields of Shanghai and the contents of nature-inspired computation are introduced, the state-of-the-art applications of Natural-inspired Computation technology in the key nine high-tech fields, including domestic and foreign, are summarized. The advantages and disadvantages between the corresponding domestic and foreign research fields are compared and the suggestion for improvement is given. Finally, the further application prospects is summarized and forecasted.
[1]市政府印发《关于加快推进上海高新技术产业化的实施意见》[EB/OL].(2009-05-16)http://www.shanghai.gov.cn/shanghai/node2314/node2319/node12344/userobject26ai18563.html.
[2]上海市高新技术产业化信息网[EB/OL].(2010-06-11)http://www.shnhti.gov.cn/index.htm.
[3]汪镭,张永,郭为安,等.自然计算发展趋势研究[J].微型电脑应用(//),2010.
[4]科技常识:高新技术的含义、特征及标志性技术[EB/OL].(2008-07-31)http://edu.newdu.com/Official/Class943/Class956/200807/18090.html.
[5]舒惠国.高新技术解读[G].南昌:江西人民出版社,2001.
[6]张树军.海洋工程装备—船舶工业未来发展之路[J].中国水运,2009,(9):8-9.
[7]林珊.太阳能发电系统研究[D].广东工业大学控制理论与控制工程,1999.
[8]琚亚平,张楚华.基于人工神经网络与遗传算法的风力机翼型优化设计方法[J].中国电机工程学报,2009,29(20):106-111.
[9]Androulakis I.P.A genetic algorithmic framework for process design and optimization[J].Computers Chem.Eng,1991,15(4):217-228.
[10]Grady S A,Hussainia M Y,Abdullah M M.Placement of wind turbines using genetic algorithms[J].Renewable Energy,2005,30(2):29-270.
[11]Selig M S.Application of a Genetic Algorithm to Wind Turbine Design[J].J.Energy Resour.Technol,1996,118(1)..6.
[12]Dufo-López Rodolfo,Bernal-Agustín JoséL.Design and control strategies of PV-Diesel systems using genetic algorithms[J].Solar Energy,2005,79(1):33-46.
[13]Kalogirou Soteris A.Optimization of solar systems using artificial neural-networks and genetic algorithms[J].Applied Energy,2004,77(4):385-405.
[14]顾伟,李丽莉,黄志毅,等.飞机操纵面故障的模糊差分进化识别方法[J].计算机应用研究,2010,(5).
[15]尹伟,章卫国,宁东方,等.基于差分进化交叉验证SVM的飞控系统传感器故障预测学习算法研究[J].传感技术学报,2008,(11).
[16]刘小雄,章卫国,李广文.基于智能解析余度的容错飞控系统设计[J].传感技术学报,2007,(8).
[17]李长征,雷勇.基于遗传算法的航空发动机性能曲线逼近[J].测控技术,2009,28(1):92-94.
[18]徐正军,唐硕.基于改进遗传算法的飞行航迹规划[J].宇航学报,2008,29(5):1540-1545.
[19]CRESSLEY W.A.Optimization for aerospace conceptual design through the use of genetic algorithms[C]:Proceedings of the First NASA/DOD Workshop on Evolvable Hardware,CA,USA,1999.Pasadena:200-207.
[20]Kobayashi Takahisa,Simon Donald L.A Hybrid Neural Network-Genetic Algorithm Technique for Aircraft Engine Performance Diagnostics,NASA/TM—2001-211088[R].American Institute of Aeronautics and Astronautics,2001.
[21]Alam S,Abbass H A,Barlow M,et al.Mapping Lessons From Ants to Free Flight:An Ant-Based Weather Avoidance Algorithm in Free Flight Airspace:Proceedings of SPIE(Complex Systems),number,TR-ALAR-200511016[R].Northcott Drive,Australia:The Artificial Life and Adaptive Robotics Laboratory,2005.
[22]Venter G,Sobieszczanski-Sobieski J.Multidisciplinary optimization of a transport aircraft wing using particle swarm optimization[J].Structural and Multidisciplinary Optimization,2004,26(1):121-131.
[23]陈长征,刘强.概率因果网络在汽轮机故障诊断中的应用[J].中国电机工程学报,2001,21(2):78-81.
[24]郭惠昕,车晓毅,肖伟跃.混沌遗传优化算法及其在机械优化设计中的应用[J].机械设计,2003,20(10):23-25.
[25]丁卫东,尉宇.基于遗传算法的机械零部件可靠性优化设计[J].机械设计,2003,20(3):48-49,60.
[26]徐小力.旋转机械的遗传算法优化神经网络预测模型[J].机械工程学报,2003,39(2):140-144.
[27]张文.基于粒子群体优化算法的电力系统无功优化研究[D].山东大学电力系统及其自动化,2006.
[28]郭卫,赵栓峰,杨桂红.基于遗传算法的叠簧弹性联轴器的模糊优化设计[J].机械传动,2004,28(4):13-16.
[29]Wen F S,Han Z X.Fault section estimation in power systems using a genetic algorithm[J].Electric Power Research,1995,(34):165-172.
[30]Dasgupta D,McGregor D R.Thermal unit commitment using genetic algorithms[J].Generation,Transmission and Distribution,IEE Proceedings-,1994,141(5):459-465.
[31]Yoshida H,Kawata K,Fukuyama Y,et al.A Particle Swarm Optimization for Reactive Power and Voltage Control Considering Voltage Security Assessment:Power Engineering Society Winter Meeting,2001.IEEE,2001[C].492-498.
[32]Meneses AAM,Machado MD,Schirru R.Particle Swarm Optimization applied to the nuclear reload problem of a Pressurized Water Reactor[J].Progress in Nuclear Energy,2009,51(2):319-326.
[33]刘朝晖,李明亚,黄榕波.药代动力学建模的人工神经网络新方法[J].中国临床药理学杂志,2008,24(4):334-338.
[34]李珊,陈遥,张炯.人工神经网络在环孢素血药浓度预测中的研究[J].科技信息,2007,(29):42-44.
[35]王晓明.基于混合遗传算法的蛋白质结构预测研究[J].计算机应用,2007,27(12):175-176.
[36]周家莉.GA-BP神经网络在拮抗药化合物活性模式识别中的应用[J].中国现代药物应用,2008,2(11):11-13.
[37]Chun Y W,Sun C T.Regularity of Secondary Protein Structures:A Genetic Algorithm approach[C]:Proceedings of the5th World Congress on Intelligent Control and Automation,2004.
[38]Cootes T,Hill A,Taylor C,et al.The Use of Active Shape Models for Locating Structures in Medical Images:Information Processing in Medical Imaging,1993[C].Springer,33-47.
[39]Rasmussen T K,Krink T.Improved Hidden Markov Model training for multiple sequence alignment by a particle swarm optimization--evolutionary algorithm hybrid[J].Biosystems,2003,72(1-2):5-17.
[40]Eberhart C,Hu R X.Human tremor analysis using particle swarm optimization[C]:Proceedings of the IEEE Conference on Evolutionary Computation,1999.Piscataway,NJ:IEEE Service Center,:1927-1930.
[41]Unger Ron,Moult John.Genetic Algorithms for Protein Folding Simulations[J].J.Mol.Biol,1993,(231):75-81.
[42]阎德劲,周德俭,黄春跃,等.基于遗传算法的表面组装电子元件热布局优化[J].电子机械工程,2007,23(2):12-17.
[43]朱科,刘红丽,甄玉云.基于PID神经网络的智能温度仪表研究[J].湖北工业大学学报,2008,23(3):71-73.
[44]蔡苗,杨道国.基于BP神经网络的模塑封电子器件优化设计[J].电子元件与材料,2009,28(8):71-74.
[45]林国华,殷奎喜.反馈神经网络卷积码解码器在光纤通信中的研究[J].现代电子技术,2007,(7):97-99.
[46]Uckun S.Managing Genetic Search in Job Shop Scheduling[J].IEEE Expert,1993,(10):15-24.
[47]Onwubolu G C,Clerc M.Optimal path for automated drilling operations by a new heuristic approach usingparticle swarm optimization[J].International Journal of Production Research,2004,42(3):473-491.
[48]Thompson A,Layzell P,Zebulum R S.Explorations in design space:unconventional electronics design through artificial evolution[J].Evolutionary Computation,IEEE Transactions on,1999,3(3):167-196.
[49]Marwah M,Li Y,Mahajan RL.Integrated Neural Network Modeling For Electronic Manufacturing[J].Journal of Electronics Manufacturing,1996,6(2):79-91.
[50]浦金欢,殷承良,张建武.遗传算法在混合动力汽车控制策略优化中的应用[J].中国机械工程,2005,16(7):648-652.
[51]齐占宁,陈全世,赵六奇.基于遗传算法的燃料电池车控制策略优化[J].公路交通科技,2004,21(4):93-96.
[52]石坤,魏锋涛,任雷雷.基于改进遗传算法的带传动优化设计[J].机械,2006,33(2):18-20.
[53]侯勇,赵涛.基于遗传算法的汽车悬置系统优化软件开发[J].北京工业职业技术学院学报,2009,8(3):32-35,39.
[54]谷明起.轻型车半主动悬架蚁群PI姿态控制算法的研究[D].吉林大学,2007.
[55]许翔,毕小平.基于遗传算法的车用散热器优化设计[J].装甲兵工程学院学报,2008,22(5):28-31.
[56]Alan C S.Test And Evaluation by genetic Algorithms[J].IEEE Expert,1993,(10):10-13.
[57]Moreno J,Ortuzar M E,Dixon J W.Energy-management system for a hybrid electric vehicle,using ultracapacitors and neural networks[J].Industrial Electronics,IEEE Transactions on,2006,53(2):614-623.
[58]Jeme?S,Hissel D,Péra M C,et al.On-Board Fuel Cell Power Supply Modeling On the Basis of Neural Network Methodology[J].Journal of Power Sources,2003,124(2):479-486.
[59]刘传云,马运义,刘明静,等.多种群变异遗传算法在舰船概念方案设计中的应用[J].船海工程,2009,38(5):13-15.
[60]张群站.基于蚁群算法的集装箱船结构优化设计[D].天津大学建工学院,2007.
[61]覃峰,詹志刚,杨波,等.基于遗传算法的船舶推进系统船、机、桨匹配优化设计[J].武汉理工大学学报(交通科学与工程版),2003,27(1):50-52.
[62]谢春玲,戴景民,施小成.基于遗传算法的船用核动力装置故障诊断[J].中国造船,2006,48(2):111-115.
[63]Lee Tzung-Hang,Cao Yusong,Lin Yen-Mi.Dynamic positioning of drilling vessels with a fuzzy logic controller[J].International Journal of Systems Science,2002,33(12):979-993.
[64]Serapi?o Adriane,Mendes José.Classification of Petroleum Well Drilling Operations with a Hybrid Particle Swarm/Ant Colony Algorithm[J].Next-Generation Applied Intelligence,2009:301-310.
[65]Mcgookin E W,Murray-Smith D J,Li Y,et al.Ship Steering Control System Optimisation Using Genetic Algorithms[J].Control Engineering Practice,2000,8(4):429-443.
[66]Okada T,Neki I.Utilization of Genetic Algorithm for Optimizing the Design of Ship Hull Structures[J].Naval architecture and ocean engineering,1993,(31):71-83.
[67]Chakraborti N.Genetic algorithms in materials design and processing[J].International Materials Reviews,2004,49(3-4):246-260.
[68]Weile D S,Michielssen E.Genetic algorithm optimization applied to electromagnetics:a review[J].Antennas and Propagation,IEEE Transactions on,1997,45(3):343-353.
[69]Bhadeshia H K D H.Neural Networks in Materials Science[J].ISIJ International,1999,39(10):966-979.
[70]汪忠柱,吴先良,威沙.基于加速遗传算法的多层微波吸收材料的优化设计[J].磁性材料及器件,2009,40(1):28-31,34.
[71]宋迎东,孙杰,孙志刚,等.基于遗传算法的复合材料细观结构拓扑优化设计[J].固体力学学报,2009,30(4):416-423.
[72]穆朋刚,赵美英,刘关心,等.蚁群算法在复合材料层合板优化设计中的应用[J].机械强度,2009,31(3):410-413.
[73]Aickelin U,Greensmith J,Twycross J.Immune system approaches to intrusion detection–a review[J].Artificial Immune Systems,2004,:316-329.
[74]Wang J,Zhang D,Shi X,et al.Adaptive Web Intrusion Detection Based On Immune and Fuzzy Logic[J].Mind and Computation,2002,3(1):21.
[75]刘琴,黄挚雄,李志勇.遗传算法在电子商务协商优化问题中的应用[J].现代计算机,2006,(245):39-42.
[76]韩冰青,汪加才.基于粒子群优化算法求解软件可靠性分配问题[J].计算机应用与软件,2005,22(7):27-28,58.
[77]邵雄凯,梁云静,刘建舟.基于遗传算法的主题信息搜索研究[J].网络安全技术与应用,2009,(11):57-60.
[78]Handl J,Meyer B.Improved ant-based clustering and sorting in a document retrieval interface[M]//Parallel Problem Solving from Nature—PPSN VII.2002:913-923.
[79]Jennings A,Higuchi H.A personal news service based on a user model neural network[R].Iwaoka,Kobe,Japan:Kansai Advanced Research Centre,Communications Research Laboratory.
[80]Canfora Gerardo,Di Penta Massimiliano,Esposito Raffaele,et.al.An approach for QoS-aware service composition based on genetic algorithms[C]:Proceedings of the2005conference on Genetic and evolutionary computation,Washington DC,USA,2005.ACM New York,NY,USA:1069-1075.
基本信息:
中图分类号:TP18
引用信息:
[1]张永韡,汪镭,吴启迪.自然计算在九大高新技术领域的应用研究[J].微型电脑应用,2010,26(10):1-8.
基金信息:
国家自然科学基金项目(70871091);; 教育部科学研究重大项目(306023);; 教育部第37批留学回国人员科研启动基金支持;; 上海市经济和信息化委员会软件和集成电路产业发展专项资金项目(HZ09181494);; 上海市科委科研计划项目(08DZ1140500,09DZ1141300);
2010-10-20
2010-10-20