期刊文献+

多目标演化算法的进展研究 被引量:5

Introduction of Research on Multi-Objective Evolutionary Algorithms
下载PDF
导出
摘要 回顾多目标演化算法的研究历史,给出问题相应的数学描述;其次,分析经典的第一代多目标进化算法,阐明这一代算法的优点与不足;对新一代多目标进化算法作详细的分析,其主要特点是构造外部种群实现精英保留机制;最后多目标进化算法的研究方向作展望。 First, this paper reviews the origins of MOEAs, and gives its corresponding mathematical description. Next, it analyzes the original classical MOEAs and their achievements and shortage. Later on, the newly developed 2nd generations MOEAs are discussed with details. Finally, some promising prospects are predicted.
作者 祁薇熹 李彬
出处 《计算机与数字工程》 2008年第5期16-18,26,共4页 Computer & Digital Engineering
关键词 多目标进化算法 多目标优化 PARETO最优 MOEAs, multi - objective optimization, pareto non - dominance
  • 相关文献

参考文献14

  • 1Ehrgott M. Multi - criteria optimization [ M ]. Berlin : Springer, 2000 : 19 - 21 被引量:1
  • 2崔逊学著..多目标进化算法及其应用[M].北京:国防工业出版社,2006:331.
  • 3Tan K C, Khor E F, Lee T H. Multi -objective Evolutionary Algorithms and Applications [ M ]. London : Springer Verlag, 2005:24 - 26 被引量:1
  • 4Fonseca C M, Fleming P J. An overview of evolutionary algorithms in muhiobjective optimization [C]. Evolutionary Computation, 1995, 3 (1) : 1 - 16 被引量:1
  • 5Goldberg D E. Genetic Algorithms in Search, Optimization and Machine Learning [ M ]. Massachusetts : Addison - Wesley Publishing Company, 1989:79 - 86 被引量:1
  • 6Fonseca C M, Fleming P J. Genetic algorithms for Multi- objective optimization: Formulation, discussion and generalization[ C ]. The 5^th International Conference on Genetic Algorithms. San Mateo, California, 1993:54 -56 被引量:1
  • 7Srinivas N, Deb K. Muhiobjective optimization using non- dominated sorting in genetic algorithms [ J ]. Evolutionary Computation, 1994, (2) :221 -248 被引量:1
  • 8Horn J, Nafpliotis N, Goldberg D E, et al. A niched Pareto genetic algorithm for multi - objective optimization [ C ]. The First IEEE Conference on Evolutionary Computation , IEEE World Congress on Computational Intelligence. Piscataway, New Jersey, 1994:82 - 87 被引量:1
  • 9Zitzler E, Thiele L. An Evolutionary Algorithm for Multi -objective Optimization: The Strength Pareto Approach [ R]. Computer Engineering and Communication Networks Lab ( TIK), Swiss Federal Institute of Technology ( ETH), Zurich, Switzerland, Technical Report, 1998:43 被引量:1
  • 10Zitzler E, Launanns M, Thiele L. SPEA : Improving the Strength Pareto Evolutionary Algorithm [ C ]. Giannakoglou K, etal. Des. EUROGEN 2001. Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems, Athens, Greece, 2002:95 - 100 被引量:1

二级参考文献40

  • 1Zitzler E, Laumanns M, Bleuler S. A tutorial on evolutionary multiobjective optimization. In.. Srensen K, Gandibleux X, Sevaux M, et al. ed. Meta-heuristics for Multiobjective Optimization. Lecture Notes in Economics and Mathematical Systems, Sprnger, 2004,35 : 3-37 被引量:1
  • 2Coello C A C. An Updated survey of evolutionary multiobjective optimization techniques: State of the art and future trends. In: Proceedings of the 1999 Congress on Evolutionary Computation, Washington D C,1999. 3-13 被引量:1
  • 3Rosenberg R S. Simulation of genetic populations with biochemical properties:[PhD thesis]. Ann Harbor, Michigan: University of Michigan, 1967 被引量:1
  • 4David S J. Multiple Objective Optimization with Vector Evaluated Genetic Algorithms. In: Proceedings of the First International Conference on Genetic Algorithms, Lawrence Erlbaum, 1985.93-100 被引量:1
  • 5Coello C A C. Twenty Years of Evolutionary Multi-objective Optimization: A Historical View of the Field. IEEE Computational Intelligence Magazine, 2006,1 (1) : 28-36 被引量:1
  • 6Fonseca C M, Fleming P J. An Overview of Evolutionary Algorithms in Multi-objective Optimization[J].Evolutionary Computation, 1995, 3(1):1-16 被引量:1
  • 7Goldberg D E. Genetic Algorithms in Search, Optimization and Machine Learning. Reading, Massachusetts: Addison-Wesley Publishing Company, 1989 被引量:1
  • 8Fonseca C M, Fleming P J. Genetic Algorithms for Multi-objective Optimization: Formulation, Discussion and Generalization. In: Forrest S,ed. oceedings of the Fifth International Conference on Genetic Algorithms, pages San Marco, California, 1993. 416-423 被引量:1
  • 9Srinivas N, Deb K. Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms. Evolutionary Computation, 1994,2(3):221-248 被引量:1
  • 10Horn J, Nafpliotis N, Goldberg D E. A Niched Pareto Genetic Algorithm for Multiobjective Optimization. In: Proceedings of the First IEEE Conference on Evolutionary Computation, IEEE World Congress on Computational Intelligence, voll. Piscataway, New Jersey, June 1994.82-87 被引量:1

共引文献51

同被引文献46

引证文献5

二级引证文献18

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