Improved Slime Mold Algorithm with Dynamic Quantum Rotation Gate and Opposition-Based Learning for Global Optimization and Engineering Design Problems

The slime mold algorithm (SMA) is a swarm-based metaheuristic algorithm inspired by the natural oscillatory patterns of slime molds. Compared with other algorithms, the SMA is competitive but still suffers from unbalanced development and exploration and the tendency to fall into local optima. To ove...

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Bibliographic Details
Main Authors: Yunyang Zhang, Shiyu Du, Quan Zhang
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Algorithms
Subjects:
Online Access:https://www.mdpi.com/1999-4893/15/9/317