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Hybridizing slime mould algorithm with simulated annealing algorithm: a hybridized statistical approach for numerical and engineering design problems
Complex & Intelligent Systems ( IF 5.8 ) Pub Date : 2022-09-21 , DOI: 10.1007/s40747-022-00852-0
Leela Kumari Ch 1 , Vikram Kumar Kamboj 1, 2 , S K Bath 3
Affiliation  

The existing slime mould algorithm clones the uniqueness of the phase of oscillation of slime mould conduct and exhibits slow convergence in local search space due to poor exploitation phase. This research work exhibits to discover the best solution for objective function by commingling slime mould algorithm and simulated annealing algorithm for better variation of parameters and named as hybridized slime mould algorithm–simulated annealing algorithm. The simulated annealing algorithm improves and accelerates the effectiveness of slime mould technique as well as assists to take off from the local optimum. To corroborate the worth and usefulness of the introduced strategy, nonconvex, nonlinear, and typical engineering design difficulties were analyzed for standard benchmarks and interdisciplinary engineering design concerns. The proposed technique version is used to evaluate six, five, five unimodal, multimodal and fixed-dimension benchmark functions, respectively, also including 11 kinds of interdisciplinary engineering design difficulties. The technique’s outcomes were compared to the results of other on-hand optimization methods, and the experimental results show that the suggested approach outperforms the other optimization techniques.



中文翻译:

粘菌算法与模拟退火算法的混合:数值和工程设计问题的混合统计方法

现有的粘菌算法克隆了粘菌行为振荡阶段的独特性,但由于利用阶段较差,在局部搜索空间中表现出收敛速度慢的问题。这项研究工作表明,通过将粘菌算法和模拟退火算法相结合,以更好地改变参数来发现目标函数的最佳解决方案,并命名为混合粘菌算法-模拟退火算法。模拟退火算法提高并加速了粘菌技术的有效性,并有助于摆脱局部最优。为了证实所引入策略的价值和实用性,对标准基准和跨学科工程设计问题的非凸、非线性和典型工程设计困难进行了分析。所提出的技术版本分别用于评估6个、5个、5个单峰、多峰和定维基准函数,还包括11种跨学科工程设计难点。该技术的结果与其他现有优化方法的结果进行了比较,实验结果表明,所建议的方法优于其他优化技术。

更新日期:2022-09-21
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