• DocumentCode
    560317
  • Title

    Verify Election Campaign Optimization Algorithm by Several Optimization Problems

  • Author

    Jie, Yang ; Wenge, Lv ; Mingyu, He ; Hong, Zhang

  • Author_Institution
    Fac. of Electromech. Eng., Guangdong Univ. of Technol., Guangzhou, China
  • Volume
    1
  • fYear
    2011
  • fDate
    26-27 Nov. 2011
  • Firstpage
    543
  • Lastpage
    546
  • Abstract
    Election Campaign Optimization Algorithm is a novel heuristic optimization algorithm, which simulates the motivation of election candidates to the highest support in campaign. This algorithm is easy to understand and optimize performance is good. This algorithm also can achieve optimal value in the global convergence, thought the MATLAB numberical experiments show that good results. Get the optimum value of problems is the target which people pursue. The study of optimization algorithm is always a hotspot of optimal design theory research. Many kinds of optimization problems, both in academic research and application technology, can generalize constrained optimization problems. More and more scholars are engaged in applied research of various heuristic algorithm on constrained optimization because of the shortcoming of classic algorithm. In this paper, several functions of optimization problems are used to verify this algorithm.
  • Keywords
    convergence of numerical methods; optimisation; politics; search problems; MATLAB numerical experiment; constrained optimization problem; election campaign optimization algorithm; global convergence; heuristic optimization algorithm; optimal design theory research; Algorithm design and analysis; Convergence; Equations; Heuristic algorithms; Mathematical model; Nominations and elections; Optimization; Algorithm; Election Campaign; Engineering Problems; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering (ICIII), 2011 International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-61284-450-3
  • Type

    conf

  • DOI
    10.1109/ICIII.2011.138
  • Filename
    6115095