MGCHMO: A dynamic differential human memory optimization with Cauchy and Gauss mutation for solving engineering problems DOI

Jialing Yan,

Gang Hu,

Bin Shu

et al.

Advances in Engineering Software, Journal Year: 2024, Volume and Issue: 198, P. 103793 - 103793

Published: Oct. 22, 2024

Language: Английский

MORIME: A Multi-Objective RIME Optimization Framework for Efficient Truss Design DOI Creative Commons
Mohammad Aljaidi, Nikunj Mashru, Pinank Patel

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: 25, P. 103933 - 103933

Published: Jan. 5, 2025

Language: Английский

Citations

4
Optimization of truss structures with two archive-boosted MOHO algorithm DOI
Ghanshyam G. Tejani, Sunil Kumar Sharma, Nikunj Mashru

et al.

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 120, P. 296 - 317

Published: Feb. 18, 2025

Language: Английский

Citations

2
An enhanced ivy algorithm fusing multiple strategies for global optimization problems DOI

Chunqiang Zhang,

Wenzhou Lin, Gang Hu

et al.

Advances in Engineering Software, Journal Year: 2025, Volume and Issue: 203, P. 103862 - 103862

Published: Feb. 6, 2025

Language: Английский

Citations

1
An efficient enhanced exponential distribution optimizer: applications in global, engineering, and combinatorial optimization problems DOI Creative Commons

Marwa M. Emam,

Mohammed R. Saad,

Mina Younan

et al.

Journal Of Big Data, Journal Year: 2025, Volume and Issue: 12(1)

Published: April 13, 2025

Language: Английский

Citations

0
Artificial Satellite Search: A New Metaheuristic Algorithm for Optimizing Truss Structure Design and Project Scheduling DOI
Min‐Yuan Cheng, Moh Nur Sholeh

Applied Mathematical Modelling, Journal Year: 2025, Volume and Issue: unknown, P. 116008 - 116008

Published: Feb. 1, 2025

Language: Английский

Citations

0
Efficiency Analysis of Binary Metaheuristic Optimization Algorithms for Uncapacitated Facility Location Problems DOI
Tahir Sağ, Aysegul IHSAN

Applied Soft Computing, Journal Year: 2025, Volume and Issue: unknown, P. 112968 - 112968

Published: March 1, 2025

Language: Английский

Citations

0
UAV Path Planning: A Dual-Population Cooperative Honey Badger Algorithm for Staged Fusion of Multiple Differential Evolutionary Strategies DOI Creative Commons
Xiaojie Tang, Chengfen Jia, Zhengyang He

et al.

Biomimetics, Journal Year: 2025, Volume and Issue: 10(3), P. 168 - 168

Published: March 10, 2025

To address the challenges of low optimization efficiency and premature convergence in existing algorithms for unmanned aerial vehicle (UAV) 3D path planning under complex operational constraints, this study proposes an enhanced honey badger algorithm (LRMHBA). First, a three-dimensional terrain model incorporating threat sources UAV constraints is constructed to reflect actual environment. Second, LRMHBA improves global search by optimizing initial population distribution through integration Latin hypercube sampling elite strategy. Subsequently, stochastic perturbation mechanism introduced facilitate escape from local optima. Furthermore, adapt evolving exploration requirements during process, employs differential mutation strategy tailored populations with different fitness values, utilizing individuals initialization stage guide process. This design forms two-population cooperative that enhances balance between exploitation, thereby improving accuracy. Experimental evaluations on CEC2017 benchmark suite demonstrate superiority over 11 comparison algorithms. In task, consistently generated shortest average across three obstacle simulation scenarios varying complexity, achieving highest rank Friedman test.

Language: Английский

Citations

0
Machine Learning Approaches for Predicting Mechanical Properties of Steel-Fiber-Reinforced Concrete DOI
Huan Huang,

Long Lei,

Guoxin Xu

et al.

Materials Today Communications, Journal Year: 2025, Volume and Issue: unknown, P. 112149 - 112149

Published: March 1, 2025

Language: Английский

Citations

0
Hyperspectral estimation of soil organic matter using improved spotted hyena optimizer and iteratively retained informative variables DOI
Hui Zhang, Yunbo Shen, Huanhuan Lv

et al.

Microchemical Journal, Journal Year: 2025, Volume and Issue: unknown, P. 113410 - 113410

Published: March 1, 2025

Language: Английский

Citations

0
mESC: An Enhanced Escape Algorithm Fusing Multiple Strategies for Engineering Optimization DOI Creative Commons
Jia Liu,

Jianwei Yang,

Lele Cui

et al.

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

Citations

0