Optimizing process parameters of in-situ laser assisted cutting of glass–ceramic by applying hybrid machine learning models DOI
Jiachen Wei, Wenbin He, Chuangting Lin

et al.

Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 62, P. 102590 - 102590

Published: May 13, 2024

Language: Английский

African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems DOI
Benyamın Abdollahzadeh, Farhad Soleimanian Gharehchopogh, Seyedali Mirjalili

et al.

Computers & Industrial Engineering, Journal Year: 2021, Volume and Issue: 158, P. 107408 - 107408

Published: May 21, 2021

Language: Английский

Citations

1033

Artificial gorilla troops optimizer: A new nature‐inspired metaheuristic algorithm for global optimization problems DOI Open Access
Benyamın Abdollahzadeh, Farhad Soleimanian Gharehchopogh, Seyedali Mirjalili

et al.

International Journal of Intelligent Systems, Journal Year: 2021, Volume and Issue: 36(10), P. 5887 - 5958

Published: July 12, 2021

Metaheuristics play a critical role in solving optimization problems, and most of them have been inspired by the collective intelligence natural organisms nature. This paper proposes new metaheuristic algorithm gorilla troops' social nature, called Artificial Gorilla Troops Optimizer (GTO). In this algorithm, gorillas' life is mathematically formulated, mechanisms are designed to perform exploration exploitation. To evaluate GTO, we apply it 52 standard benchmark functions seven engineering problems. Friedman's test Wilcoxon rank-sum statistical tests statistically compared proposed method with several existing metaheuristics. The results demonstrate that GTO performs better than comparative algorithms on functions, particularly high-dimensional can provide superior other

Language: Английский

Citations

795

Mountain Gazelle Optimizer: A new Nature-inspired Metaheuristic Algorithm for Global Optimization Problems DOI
Benyamın Abdollahzadeh, Farhad Soleimanian Gharehchopogh, Nima Khodadadi

et al.

Advances in Engineering Software, Journal Year: 2022, Volume and Issue: 174, P. 103282 - 103282

Published: Oct. 29, 2022

Language: Английский

Citations

285

A comprehensive survey on recent metaheuristics for feature selection DOI
Tansel Dökeroğlu, Ayça Deniz, Hakan Ezgi Kızılöz

et al.

Neurocomputing, Journal Year: 2022, Volume and Issue: 494, P. 269 - 296

Published: April 22, 2022

Language: Английский

Citations

235

Parameter adaptation-based ant colony optimization with dynamic hybrid mechanism DOI
Xiangbing Zhou,

Hongjiang Ma,

Jianggang Gu

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2022, Volume and Issue: 114, P. 105139 - 105139

Published: July 6, 2022

Language: Английский

Citations

177

A multi-objective mutation-based dynamic Harris Hawks optimization for botnet detection in IoT DOI
Farhad Soleimanian Gharehchopogh, Benyamın Abdollahzadeh, Saeid Barshandeh

et al.

Internet of Things, Journal Year: 2023, Volume and Issue: 24, P. 100952 - 100952

Published: Sept. 24, 2023

Language: Английский

Citations

95

An improved cuckoo search optimization algorithm with genetic algorithm for community detection in complex networks DOI

Saeid Talebpour Shishavan,

Farhad Soleimanian Gharehchopogh

Multimedia Tools and Applications, Journal Year: 2022, Volume and Issue: 81(18), P. 25205 - 25231

Published: March 22, 2022

Language: Английский

Citations

93

A Feature Selection Based on the Farmland Fertility Algorithm for Improved Intrusion Detection Systems DOI

Touraj Sattari Naseri,

Farhad Soleimanian Gharehchopogh

Journal of Network and Systems Management, Journal Year: 2022, Volume and Issue: 30(3)

Published: March 19, 2022

Language: Английский

Citations

92

Advances in Tree Seed Algorithm: A Comprehensive Survey DOI
Farhad Soleimanian Gharehchopogh

Archives of Computational Methods in Engineering, Journal Year: 2022, Volume and Issue: 29(5), P. 3281 - 3304

Published: Jan. 10, 2022

Language: Английский

Citations

83

Advances in nature-inspired metaheuristic optimization for feature selection problem: A comprehensive survey DOI
Maha Nssibi, Ghaith Manita, Ouajdi Korbaa

et al.

Computer Science Review, Journal Year: 2023, Volume and Issue: 49, P. 100559 - 100559

Published: May 22, 2023

Language: Английский

Citations

83