Telecommunications Science ›› 2018, Vol. 34 ›› Issue (7): 92-101.doi: 10.11959/j.issn.1000-0801.2018144

• research and development • Previous Articles     Next Articles

Intelligent optimization algorithm based on benchmarking

Anshi XIE   

  1. Zhejiang University of Technology,Hangzhou 310014,China
  • Online:2018-07-20 Published:2018-07-28
  • Supported by:
    Research Fund from “Zhejiang Provincial Key Research Base of Philosophy and Social Sciences-Research Centre for Technology Innovation and Enterprise Internationalization”;Research Fund from “Collaborative Innovation Center for Transformation and Upgrading of Micro,Small and Medium Enterprises,Zhejiang University of Technology”;The Ministry of Education of Humanities and Social Science Project

Abstract:

Many of the issues in scientific research,engineeringand management can be transformed into optimization problems.The various methods applied to these problems were a variety of models.Designing different methods was designing different models.The theme was to model the benchmarking philosophy in business management as a meta-heuristic search method for single objective bound-constrained real-parameter optimization problems.According to the principle of Occam’s Razor,many complicated operators and their probability tuning rules were abandoned and a simple framework was used to organize the core operators to achieve the effect of many composition algorithms.

Key words: intelligent optimization algorithm, exploration and exploitation, global search and local optimization, benchmarking management

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