Improved multi?verse algorithm with combined slime mould foraging behavior [结合黏菌觅食行为的改进多元宇宙算法]

作者：Ren L.-L.; Wang Z.-J.; Yan D.-M.

来源：Journal of Jilin University (Engineering and Technology Edition), 2021, 51(6): 2190-2197.

DOI：10.13229/j.cnki.jdxbgxb20210649

• Computer applications
• Function optimization
• Multi-verse optimization(MVO) algorithm
• Slime mould foraging behavior

In order to improve the ability of multi-verse optimization algorithm to solve practical problems, a modified multi-verse optimization algorithm with slime mould foraging is proposed. The algorithm uses slime foraging behavior to further seek optimal solutions between local optimum and global optimum. By comparing with 10 other similar algorithms tested on 12 benchmark-functions, the results show that the convergence speed and solution quality of the proposed algorithm in this paper are better than other algorithms, with better solving ability and optimization performance, and can be used as an effective tool for problem optimization.

• 出版日期2021