HSMA-PS: a novel memetic approach for numerical and engineering design challenges

Abstract

Recent work trend is to hybridize two and more variants in order to recognize better quality of functional and remedies to the global challenges of optimisation. The newly formed Slime Mould Algorithm (SMA) is premised upon naturally occurring slime mould oscillation feature. There is an effort to build a more effective way to accomplish exploration through process of exploitation. In a comprehensive collection of tests, the proposed hybrid Slime Mould Algorithm (SMA) – Pattern Search Algorithm (PS) (hSMA-PS) has been evaluated by comparing against accurate and reliable meta-heuristics for accuracy testing. In addition, nine classical engineering based optimization problems with design are used to guesstimate the algorithm’s efficacy in engineering based optimization challenges. The experiments demonstrate that the suggested algorithm enjoys efficiency, sometimes amazing result on sophisticated search landscapes.