Recurring Two-Stage Evolutionary Programming: A Novel Approach for Numeric Optimization

@article{Alam2011RecurringTE,
  title={Recurring Two-Stage Evolutionary Programming: A Novel Approach for Numeric Optimization},
  author={Mohammad Shafiul Alam and Md. Monirul Islam and Xin Yao and Kazuyuki Murase},
  journal={IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)},
  year={2011},
  volume={41},
  pages={1352-1365}
}
In the application of evolutionary algorithms (EAs) to complex problem solving, it is essential to maintain proper balance between global exploration and local exploitation to achieve a good near-optimum solution to the problem. This paper presents a recurring two-stage evolutionary programming (RTEP) to balance the explorative and exploitative features of the conventional EAs. Unlike most previous works, RTEP is based on repeated and alternated execution of two different stages, namely, the… CONTINUE READING
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