Slime Mould Algorithm (SMA): A Method for Optimization

版本 1.0.7 (3.1 MB) 作者: Ali Asghar Heidari
A new stochastic optimizer slime mould algorithm (SMA): https://aliasgharheidari.com/SMA.html
3.0
(2)
1.6K 次下载
更新时间 2024/10/4

查看许可证

In this paper, a new stochastic optimizer, which is called slime mould algorithm (SMA), is proposed based on the oscillation mode of slime mould in nature. The proposed SMA has several new features with a unique mathematical model that uses adaptive weights to simulate the process of producing positive and negative feedback of the propagation wave of slime mould based on bio-oscillator to form the optimal path for connecting food with excellent exploratory ability and exploitation propensity. The proposed SMA is compared with up-to-date metaheuristics using an extensive set of benchmarks to verify its efficiency. Moreover, four classical engineering problems are utilized to estimate the efficacy of the algorithm in optimizing constrained problems. The results demonstrate that the proposed SMA benefits from competitive, often outstanding performance on different search landscapes. The source codes of SMA are publicly available at http://www.alimirjalili.com/SMA.html and https://tinyurl.com/Slime-mould-algorithm.
Main paper: Slime mould algorithm: A new method for stochastic optimization
Shimin Li Huiling Chen Mingjing Wang Ali Asghar Heidari Seyedali Mirjalili
Future Generation Computer Systems Volume 111, October 2020, Pages 300-323
More information, source code, and related supplementary materials such as Latex files and Visio files for figures of the original paper can be found in:
(a) https://www.researchgate.net/profile/Ali_Asghar_Heidari
(b) https://aliasgharheidari.com/SMA.html
(c) https://github.com/aliasghar68/Slime-Mould-Algorithm-A-New-Method-for-Stochastic-Optimization-
e-Mail: aliasghar68@gmail.com, as_heidari@ut.ac.ir
(singapore) aliasgha@comp.nus.edu.sg, t0917038@u.nus.edu
Homepage: https://www.researchgate.net/profile/Ali_Asghar_Heidari

引用格式

Li, Shimin, et al. “Slime Mould Algorithm: A New Method for Stochastic Optimization.” Future Generation Computer Systems, vol. 111, Elsevier BV, Oct. 2020, pp. 300–23, doi:10.1016/j.future.2020.03.055.

查看更多格式
MATLAB 版本兼容性
创建方式 R2019b
兼容任何版本
平台兼容性
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Artemisinin Optimizer (AO)-2024

Educational Competition Optimizer (ECO)-2024

Fata Morgana Algorithm (FATA)-2024

Harris Hawk Optimization (HHO)-2019

Hunger Games Search (HGS)-2021

Moss Growth Optimization (MGO)-2024

Parrot Optimizer (PO)-2024

Polar Lights Optimizer (PLO)-2024

Rime Optimization Algorithm (RIME)-2023/RIME Iteration version

Rime Optimization Algorithm (RIME)-2023/RIME function evaluation version

Runge Kutta Optimization (RUN)-2021

Slime mould algorithm (SMA)-2020

Weighted Mean of Vectors (INFO)-2022

版本 已发布 发行说明
1.0.7

2024
1.0.6

.
1.0.5

abstract updated
1.0.4

website updated
1.0.3

v 1. 3
1.0.2

Version 01
1.0.1

Version 1
1.0.0