With the increasing complexity and difficulty of practical problems, higher requirements are put forward to optimization techniques, especially the improvement on reliability and performance of meta-heuristic algorithm. In this paper, an improved arithmetic optimization algorithm (IAOA) is proposed, and it is compared with two algorithms—particle swarm optimization (PSO) and arithmetic optimization algorithm (AOA) on 13 benchmark functions. Experimental results show that the proposed algorithm performed better than the compared algorithms in solving particle problems in most cases.


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    Title :

    An Improved Arithmetic Optimization Algorithm with a Strategy Balancing Exploration and Exploitation


    Additional title:

    Smart Innovation, Systems and Technologies


    Contributors:
    Wu, Tsu-Yang (editor) / Ni, Shaoquan (editor) / Chu, Shu-Chuan (editor) / Chen, Chi-Hua (editor) / Favorskaya, Margarita (editor) / Wang, Ruo-Bin (author) / Yin, Shuo (author) / Wang, Wei-Feng (author) / An, Zhi-Wei (author) / Xu, Lin (author)


    Publication date :

    2021-11-30


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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