期刊文献+

多目标优化方法库的开发与应用

Development and Application of Multiobjective Optimization Algorithm Library
下载PDF
导出
摘要 多目标优化方法库是一个专门针对多目标问题的优化软件。本文介绍了用面向对象方法对方法库进行开发的过程,着重说明了该软件以优化模型为中心的主体框架和以优化算法为核心的模块化结构,以及库中采用的各种多目标优化算法特别是非劣分层遗传算法。最后通过算例说明了方法库的使用方法,证明了其良好的操作性和库中算法优良的性能。 Multiobjective Optimization Algorithm Library is a software specially developed for solving multiobjective optimization (MO) problems. Object -Oriented Method was taken as an important tool to develop the library. During the development of this software, model of MO problem was taken as the center of the framework and MO methods were taken as the core of the modularized structure. Most of representative MO methods were put in the library, including the Non - dominated Sorting Genetic Algorithm. Application of the library on an example instructed how to use the software, proved the maneuverability of the library and the performance of the methods.
出处 《航空计算技术》 2005年第4期57-60,65,共5页 Aeronautical Computing Technique
基金 国家自然科学基金资助项目(10377015)
关键词 多目标优化 面向对象方法 遗传算法 muhiobjective optimization object-oriented method genetie algorithms
  • 相关文献

参考文献4

  • 1玄光男 程润伟.遗传算法与工程优化[M].北京:清华大学出版社,2004..
  • 2谢涛,陈火旺.多目标优化与决策问题的演化算法[J].中国工程科学,2002,4(2):59-68. 被引量:59
  • 3Silvere Massebeuf,Christian Fonteix,et. Muhicriteria Optimization and Decision Engineering of an Extrusion Process Aided by a Diploid Genetic Algorithm, Peter Angeline,Zbyszek Michalewicz et, Proceedings of the Congress on Evolutionary Computation Vol. 1 [ C ]. Washington. IEEE Press, 1999,14-21.
  • 4Claudia Fabiola Toma. Nonlinear Muhiobjective Optimization[ R ]. Mat - 2. 142 Seminar on Optimization,2000.

二级参考文献45

  • 1Pareto V. Cours d'economies politique, volume Ⅰ and Ⅱ [M]. F Rouge, Lausanne, 1896
  • 2Rosenberg R S. Simulation of genetic populations with biochemical properties [D]. University of Michigan,Ann Harbor, Michigan, 1967
  • 3Schaffer J D. Multiple objective optimization with vector evaluated genetic algorithms [A]. Genetic Algorithms and their Applications: Proceeding of the First International Conference on Genetic Algorithms [C], Lawrence Erlbaum, 1985. 93~ 100
  • 4Veldhuizen D A V, Lamont G B. Multiobjective evolutionary algorithm research: a history and analysis [R].TR-98-03, Department of Electrical and Computer Engineering, Graduate School of Engineering, Air Force Institute of Technology, Wright Patterson AFB, OH,USA, 1998
  • 5Fonseca C M, Fleming P J. Genetic algorithms for multiobjective optimization: formulation, discussion and generation [A]. Forrest S. Proceedings of the Fifth International Conference on Genetic Algorithms [C], SanMateo, California, University of Illinois at Urbana Champaign, Morgan Kaufman Publishers, 1993. 416~423
  • 6Srinivas N, Kalyanmoy D. Multiobjective optimization using nondominated sorting in genetic algorithms [J].Evolutionary Computation, 1994, 2(3): 221~248
  • 7Horn J, Nafpliotis N. Multiobjective optimization using the Riched Pareto genetic algorithm [R]. Technical Report IlliGAL Report 93005, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA, 1993
  • 8Lis J, Eiben A E. A multi-sexual genetic algorithm for multi-objective optimization [A]. Fukuda T, Furuhashi T. Proceedings of the 1996 International Conference on Evolutionary Computation, IEEE [C], Nagoya, Japan,1996. 59~64
  • 9Darrell W. Evaluating evolutionary algorithms [J]. Artificial Intelligence, 1996, 85:245~276
  • 10Wienke P B, Lucasius C, Kateman G. Multicriteria target vector optimization of analytical procedures using a genetic algorithm [J]. Analytica Chimica Acta,1992, 265(2): 211~225

共引文献451

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部