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解决复杂优化问题的一个有效工具——蜂群优化算法 被引量:9

Efficient tool for complex optimization problems:bee colony optimization algorithm
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摘要 蜂群的某些群智能行为在昆虫中是很独特的,因此来源于蜂群智能行为的各种优化算法在解决某些实际问题时是很有效的。较之其他的优化算法,目前国内关于蜂群优化算法的文献相对较少。简要介绍了若干蜂群优化算法的发展概况,并探讨了一些未来可做的工作。 The swarm intelligence of the bee colony is unique in insect societies,so it is beneficial to solve some practical problems by the optimization algorithms based on the swarm intelligence of the bee colony. Now of the bee optimization algorithm were few compared with other optimization algorithms. So this paper gave a simple summarization of several bee optimiza-tion algorithms and discussed some work that can do in future.
作者 杨进 马良
出处 《计算机应用研究》 CSCD 北大核心 2010年第12期4410-4413,共4页 Application Research of Computers
基金 国家自然科学基金资助项目(70871081) 上海市重点学科建设资助项目(S30504)
关键词 群智能 蜂群交配 蜜蜂采蜜 黄蜂与环境信息交互 swarm intelligence honeybee mating bee foraging information communication of wasp and surrounding
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参考文献43

  • 1BONABEAU E,DORIGO M,THERAULAZ G.Swarm intelligence:from natural to artificial systems[M].New York:Oxford University Press,1999.
  • 2DIETZ A.Evolution[M] //Bee Genetics and Breeding.New York:Academic Press Inc,1986:3-22.
  • 3RINDERER T,COLLINS A.Behavioral genetics[M] //Bee Genetics and Breeding.New York:Academic Press Inc,1986:155-176.
  • 4LAIDLAW H H,PAGE R E.Mating designs[M] //Bee Genetics and Breeding.New York:Academic Press Inc,1986:323-241.
  • 5ADAMS J,ROTHMAN E,KERR W,et al.Estimation of the number of sex alleles and queen matings from diploid male frequencies in a population of apis mellifera[J].Genetics,1972,86(3):583-596.
  • 6ABBASS H A.A monogenous MBO approach to satisfiability[C] //Proc of International Conference on Computional Intelligence for Mo-delling,Control and Automation.2001.
  • 7ABBASS H A.Marriage in honey bees optimization(MBO):a haplometrosis polygynous swarming approach[C] //Proc of Congress on Evolutionary Computation.2001:207-214.
  • 8BOZORG HADDAD O,AFSHAR A.MBO(marriage bees optimization),a new heuristic approach in hydro systems design and operation[C] //Proc of the 1st International Conference on Managing Rivers in the 21st Century:Issues and Challenges.2004:499-504.
  • 9AFSHAR A,BOZORG H O,MARIN M A,et al.Honeybee mating optimization (HBMO) algorithm for optimal reservoir operation[J].Journal of the Franklin Institute,2007,344(5):452-462.
  • 10BOZORG H O,AFSHAR A,MARIN M A.Honey-bees mating optimization algorithm(HBMO):a new heuristic approach for engineering optimization[C] //Proc of the 1st International Conference on Modeling,Simulation and Applied Optimization.2005:661-680.

二级参考文献17

  • 1朱玲湘,邹亮.分布式数据挖掘体系结构及任务分配算法[J].华南理工大学学报(自然科学版),2004,32(z1):151-154. 被引量:2
  • 2Foster I,Kesselman C.The GRID blueprint for a new computing infrastructure[M].San Francisco:Morgan Kaufmann Publishers,1998.
  • 3Hagas T,Janecek J.A high performance,low complexity algorithm for compile-time task scheduling in heterogeneous systems[C]//Proceedings of the 18th International Parallel and Distributed Processing Symposium.Santa Fe,2004:107-115.
  • 4Maheswaran M,Ali S,Siegel H J,et al.Dynamic matching and scheduling of a class of independent tasks onto heterogeneous computing systems[C]//Proceedings of the 8th IEEE Heterogeneous Computing Workshop.San Juan,1999:30-44.
  • 5James H A,Hawick K A,Coddington P D.Scheduling independent tasks on metacomputing systems[C]//Proceeding of Parallel and Distributed Computing Systems.Fort Lauderdale,Florida,1999:156-162.
  • 6Hamscher V,Schwiegelshohn U,Streit A,et al.Evaluation of job-scheduling strategies for grid computing[C]//Proceedings of 7th Int’l Conf on High Performance Computing.Berlin Heidelberg:Springer-Verlag,2000:191-202.
  • 7Bonabeau E,Dorigo M,Theraulaz G.Swarm intelligence:from natural to artificial system[M].Oxford:Oxford University Press,1999.
  • 8Dorigo M,Maniezzo V,Colorni A.The ant system:optimization by a colony of cooperation agents[J].IEEE Transactions on Systems,Man,and Cybernetics:Party B,1996,26(1):1-13.
  • 9Theraulaz G,Goss S,Gervet J,et al.Task differentiation in polistes wasp colonies:a model for self-organizing groups of robots[C]// Proceedings of the First International Conference on Simulation of Adaptive Behavior on From Animals to Animats.Paris,1991:346-355.
  • 10Bonabeau E,Sobkowski A,Theraulaz G,et al.Adaptive task allocation inspired by a model of division of labor in social insects[C]// Lundh D,Olsson B.Proceeding of Biocomputing and Emergent Computing.Singapore:World Scientific,1997:36-45.

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同被引文献67

  • 1程俊斌,杨文刚.基于数值仿真的时域内人-机闭环系统稳定性研究[J].飞机设计,2012,32(5):40-42. 被引量:1
  • 2李勇,于韶辉.电液比例阀的双闭环控制技术[J].微特电机,2005,33(6):35-36. 被引量:10
  • 3冯兴田,韦统振,孔令志.高渗透分布式发电对配电网电压质量的影响研究[J].水电能源科学,2010,28(9):154-157. 被引量:19
  • 4刘三明,冯恩民.广义多目标minmax问题的最优性条件和极大熵方法[J].运筹与管理,2005,14(6):19-22. 被引量:3
  • 5孟伟,韩学东,洪炳镕.蜜蜂进化型遗传算法[J].电子学报,2006,34(7):1294-1300. 被引量:78
  • 6VIRAL R, KHATOD D K. Optimal planning of distributed generation systems in distribution system: A review[ J]. Re- newable and Sustainable Energy Reviews, 2012, 16 (7): 5146-5165.
  • 7COSSENT R, GOMEZ T, OLMOS L, et al. Assessing the impact of distributed generation on distribution network costs [C]//Energy Market, 2009. EEM 2009. 6th International Conference on the European. IEEE, 2009: 1-8.
  • 8KAYAL P, UPADHYAYA A, KAR S, et al. Optimal sizing of multiple Distributed Generation units connected with distribu- tion system using PSO technique[ C ]//Emerging Trends in E- lectrical Engineering and Energy Management (ICETEEEM), 2012 International Conference on. IEEE, 2012: 229-234.
  • 9UGRANLI F, ERSAVAS C, KARATEPE E. Neural network based distributed generation allocation for minimizing voltage fluctuation due to uncertainty of the output power[ C ]//Inno- vations in Intelligent Systems and Applications (INISTA), 2011 International Symposium on. IEEE, 2011: 415419.
  • 10ROTERING N, SCHRODERS C, KELLERMANN J, et al. Medium-voltage grid planning with optimized power factorcontrol of distributed generators[ J]. Power and Energy Socie- ty General Meeting. IEEE, 2011:1-8.

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