Multi-Strategy Enhanced Slime Mould Algorithm for Optimization Problems
The slime mould algorithm (SMA) simulates the mechanism by which slime moulds optimize paths through chemical signaling and morphological changes, enabling efficient exploration and exploitation of the solution space. While SMA is simple and flexible, it faces challenges such as slow convergence and...
Saved in:
Main Authors: | Zaixin Duan, Xuezhong Qian, Wei Song |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10835057/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Semi-Analytical Approach for the Approximate Solution of Casting-Mould Heterogeneous System
by: Muhammad Nadeem
Published: (2022-06-01) -
Enhancing undrained shear strength prediction: a robust hybrid machine learning approach with naïve Bayes modeling
by: Chen Fang, et al.
Published: (2025-02-01) -
Suggesting a Novel Hybrid Approach for Predicting Solar Irradiance in the Qinghai Province of China
by: Baran Yılmaz, et al.
Published: (2024-09-01) -
Optimizing Autonomous Multi-UAV Path Planning for Inspection Missions: A Comparative Study of Genetic and Stochastic Hill Climbing Algorithms
by: Faten Aljalaud, et al.
Published: (2024-12-01) -
An optimized method for AUV trajectory model in benthonic hydrothermal area based on improved slime mold algorithm
by: Chunmeng Jiang, et al.
Published: (2024-01-01)