A diversity enhanced tree-seed algorithm based on double search with genetic and automated learning search strategies for image segmentation DOI
Xianqiu Meng, Gaochao Xu, Xu Xu

et al.

Applied Soft Computing, Journal Year: 2025, Volume and Issue: unknown, P. 113143 - 113143

Published: April 1, 2025

Language: Английский

Overview of the application of intelligent optimization algorithms in multi-attribute group decision making DOI

Kaiying Kang,

Jialiang Xie,

Xiaohui Liu

et al.

Applied Intelligence, Journal Year: 2025, Volume and Issue: 55(6)

Published: Feb. 6, 2025

Language: Английский

Citations

0
A comprehensive survey of golden jacal optimization and its applications DOI
Mehdi Hosseinzadeh, Jawad Tanveer, Amir Masoud Rahmani

et al.

Computer Science Review, Journal Year: 2025, Volume and Issue: 56, P. 100733 - 100733

Published: Feb. 11, 2025

Language: Английский

Citations

0
IBBA: an improved binary bat algorithm for solving low and high-dimensional feature selection problems DOI
Wang Tao,

Minzhu Xie

International Journal of Machine Learning and Cybernetics, Journal Year: 2025, Volume and Issue: unknown

Published: March 3, 2025

Language: Английский

Citations

0
Hybrid strategy collaborative enhancement of white shark optimization algorithm DOI
Junchang Liu, Yu Liu,

Yahao Yang

et al.

The Journal of Supercomputing, Journal Year: 2025, Volume and Issue: 81(5)

Published: March 26, 2025

Language: Английский

Citations

0
Newton Downhill Optimizer for Global Optimization DOI Creative Commons

Wanting Xiao,

Kaichen Ouyang, Junbo Lian

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Abstract The study presents the Newton's Downhill Optimizer (NDO), a novel metaheuristic algorithm designed to address challenges of complex, high-dimensional, and nonlinear optimization problems. Mathematical-Based Algorithms (MBAs) are category algorithms based on mathematical principles. They widely applied in numerical computation, symbolic manipulation, geometric processing, problems, probabilistic statistics, offering efficient precise solutions complex Inspired by Method, NDO combines its precision with downhill strategy stochastic processes, specifically real-world applications benchmark method inspired enhancing capability exploring solution space escaping local optima. In tests, demonstrated exceptional performance, surpassing majority competing multiple test suites CEC 2017 2022. We conducted comprehensive comparison against 14 well-established algorithms. These include mathematical-based approaches such as AOA, SCHO, SCA, SABO, NRBO, RUN. also compared it classical like CMA-ES, ABC, DE, PSO. Additionally, we included advanced recently published WSO, EHO, FDB_AGDEand GQPSO. results demonstrate that outperforms most these It exhibits superior convergence speed remarkable stability.In engineering applications, outperformed other reducer design task step-cone pulley delivered outstanding disk clutch brake tasks. A significant contribution is application breast cancer feature selection, tested two Breast datasets. performance accuracy, sensitivity, specificity, Matthews Correlation Coefficient (MCC), achieving accuracy across This underscores potential viable tool for addressing both medical fields. source codes will be shared at https://github.com/oykc1234/NDO.

Language: Английский

Citations

0
A diversity enhanced tree-seed algorithm based on double search with genetic and automated learning search strategies for image segmentation DOI
Xianqiu Meng, Gaochao Xu, Xu Xu

et al.

Applied Soft Computing, Journal Year: 2025, Volume and Issue: unknown, P. 113143 - 113143

Published: April 1, 2025

Language: Английский

Citations

0