A new multistrategy fusion-based slime mould algorithm

Bibo Yue; Xiaolei Li; Han Zhang

doi:10.1117/12.3024675

3 April 2024 A new multistrategy fusion-based slime mould algorithm

Bibo Yue, Xiaolei Li, Han Zhang

Proceedings Volume 13078, Second International Conference on Informatics, Networking, and Computing (ICINC 2023); 130780R (2024) https://doi.org/10.1117/12.3024675
Event: Second International Conference on Informatics, Networking, and Computing (ICINC 2023), 2023, Wuhan, China

Abstract

The standard Slime Mould Algorithm has problems such as falling into local optimal traps, slow convergence speed and low precision. In order to improve the performance of the algorithm, a new Multi-strategy Fusion based Slime Mould Algorithm (MFSMA) was proposed. In MFSMA, slime mould population was initialized with singer chaotic mapping and evenly distributed in search space, the global search ability was improved by alternating between short distance search and occasionally longer distance walk with Levy-flight mechanism, and a nonlinear convergence factor was proposed to balance the exploration ability and development ability of the algorithm. The proposed algorithm was able to find more precise parameters in various optimization problems than the conventional one. During the test phase, comparison test was conducted on MFSMA and other three test functions. The results indicated that the MFSMA had better global search ability, faster convergence speed and higher solving accuracy.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Bibo Yue, Xiaolei Li, and Han Zhang "A new multistrategy fusion-based slime mould algorithm", Proc. SPIE 13078, Second International Conference on Informatics, Networking, and Computing (ICINC 2023), 130780R (3 April 2024); https://doi.org/10.1117/12.3024675

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available