Mirage search optimization: Application to path planning and engineering design problems

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software Pub Date : 2025-02-18 DOI:10.1016/j.advengsoft.2025.103883

Jiahao He , Shijie Zhao , Jiayi Ding , Yiming Wang

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引用次数: 0

Abstract

In this article, a new meta-heuristic optimization algorithm motivated by mirage physical principles, named Mirage Search Optimization (MSO), is proposed. MSO mainly consists of two updating strategies, i.e., the superior mirage strategy and the inferior mirage strategy, which results in the global exploration and local exploitation capabilities, respectively. In addition, other two population evolution-guided mechanisms such as the fitness-distance balance (FDB) and fitness-distance constraint (FDC) are incorporated into MSO and termed as FDB-MSO and FDC-MSO, to further check and test the good optimization performance of MSO and its variants. MSO and 25 comparison algorithms are examined on CEC2017, CEC2014 and 21 classical benchmark functions. Optimization efficiency of MSO was verified by Wilcoxon rank sum test, Friedman test and stability analysis. Furthermore, competitiveness of MSO in solving real-world problems under constraints is demonstrated using six classical engineering problems. Finally, MSO is used for the path planning problem, which verifies applicability of MSO to real-world problems. Experimental results indicate MSO is competitive with other competing algorithms. Source codes of MSO are publicly available at https://www.mathworks.com/matlabcentral/fileexchange/180042-mirage-search-optimization.

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来源期刊

Advances in Engineering Software 工程技术-计算机：跨学科应用

CiteScore

7.70

自引率

4.20%

发文量

169

审稿时长

37 days

期刊介绍： The objective of this journal is to communicate recent and projected advances in computer-based engineering techniques. The fields covered include mechanical, aerospace, civil and environmental engineering, with an emphasis on research and development leading to practical problem-solving. The scope of the journal includes: • Innovative computational strategies and numerical algorithms for large-scale engineering problems • Analysis and simulation techniques and systems • Model and mesh generation • Control of the accuracy, stability and efficiency of computational process • Exploitation of new computing environments (eg distributed hetergeneous and collaborative computing) • Advanced visualization techniques, virtual environments and prototyping • Applications of AI, knowledge-based systems, computational intelligence, including fuzzy logic, neural networks and evolutionary computations • Application of object-oriented technology to engineering problems • Intelligent human computer interfaces • Design automation, multidisciplinary design and optimization • CAD, CAE and integrated process and product development systems • Quality and reliability.