A region-based quantum evolutionary algorithm (RQEA) for global numerical optimization

Tzyy Chyang Lu, Jyh Ching Juang

研究成果: Article同行評審

10 引文 斯高帕斯(Scopus)


This work presents the region-based quantum evolutionary algorithm (RQEA) for solving numerical optimization problems. In the proposed algorithm, the feasible solution space is decomposed into regions in terms of quantum representation. As the search progresses from one generation to the next, the quantum bits evolve gradually, increasing the probability of selecting regions that yield good fitness values. Through the inherent probabilistic mechanism, the RQEA initially behaves as a global search algorithm and gradually evolves into a local search algorithm, resulting in a good balance between exploration and exploitation. The RQEA is applied to a series of numerical optimization problems. The experiments show that the results obtained by the RQEA are better than those obtained using state-of-the-art QEA and DEahcSPX.

頁(從 - 到)1-11
期刊Journal of Computational and Applied Mathematics
出版狀態Published - 2013 二月 1

All Science Journal Classification (ASJC) codes

  • 計算數學
  • 應用數學


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