mESC: An Enhanced Escape Algorithm Fusing Multiple Strategies for Engineering Optimization

Biomimetics, Journal Year: 2025, Volume and Issue: 10(4), P. 232 - 232

Published: April 8, 2025

A multi-strategy enhanced version of the escape algorithm (mESC, for short) is proposed to address challenges balancing exploration and development stages low convergence accuracy in (ESC). Firstly, an adaptive perturbation factor strategy was employed maintain population diversity. Secondly, introducing a restart mechanism enhance capability mESC. Finally, dynamic centroid reverse learning designed balance local development. In addition, order accelerate global speed, boundary adjustment based on elite pool proposed, which selects individuals replace bad individuals. Comparing mESC with latest metaheuristic high-performance winner CEC2022 testing suite, numerical results confirmed that outperforms other competitors. superiority handling problems verified through several classic real-world optimization problems.

Language: Английский

Determination of the quality classes of Elazig cherry marble with image processing

Ain Shams Engineering Journal, Journal Year: 2025, Volume and Issue: 16(8), P. 103455 - 103455

Published: May 13, 2025

Language: Английский