Enhanced Flow Direction Arithmetic Optimization Algorithm for mathematical optimization problems with applications of data clustering DOI
Laith Abualigah, Khaled H. Almotairi, Mohamed Abd Elaziz

et al.

Engineering Analysis with Boundary Elements, Journal Year: 2022, Volume and Issue: 138, P. 13 - 29

Published: Feb. 15, 2022

Language: Английский

Hybridizing of Whale and Moth-Flame Optimization Algorithms to Solve Diverse Scales of Optimal Power Flow Problem DOI Open Access
Mohammad H. Nadimi-Shahraki, Ali Fatahi, Hoda Zamani

et al.

Electronics, Journal Year: 2022, Volume and Issue: 11(5), P. 831 - 831

Published: March 7, 2022

The optimal power flow (OPF) is a practical problem in system with complex characteristics such as large number of control parameters and also multi-modal non-convex objective functions inequality nonlinear constraints. Thus, tackling the OPF becoming major priority for engineers researchers. Many metaheuristic algorithms different search strategies have been developed to solve problem. Although, majority them suffer from stagnation, premature convergence, local optima trapping during optimization process, which results producing low solution qualities, especially real-world problems. This study devoted proposing an effective hybridizing whale algorithm (WOA) modified moth-flame (MFO) named WMFO In proposed WMFO, WOA MFO cooperate effectively discover promising areas provide high-quality solutions. A randomized boundary handling used return solutions that violated permissible boundaries space. Moreover, greedy selection operator defined assess acceptance criteria new Ultimately, performance scrutinized on single multi-objective cases problems including standard IEEE 14-bus, 30-bus, 39-bus, 57-bus, IEEE118-bus test systems. obtained corroborate outperforms contender solving

Language: Английский

Citations

65
A survey on binary metaheuristic algorithms and their engineering applications DOI Open Access
Jeng‐Shyang Pan, Pei Hu, Václav Snåšel

et al.

Artificial Intelligence Review, Journal Year: 2022, Volume and Issue: 56(7), P. 6101 - 6167

Published: Nov. 21, 2022

Language: Английский

Citations

65
Moth Flame Optimization: Theory, Modifications, Hybridizations, and Applications DOI Open Access
Saroj Kumar Sahoo, Apu Kumar Saha, Absalom E. Ezugwu

et al.

Archives of Computational Methods in Engineering, Journal Year: 2022, Volume and Issue: 30(1), P. 391 - 426

Published: Aug. 29, 2022

Language: Английский

Citations

50
An analysis on the performance of metaheuristic algorithms for the estimation of parameters in solar cell models DOI
Mario A. Navarro, Diego Oliva, Alfonso Ramos-Michel

et al.

Energy Conversion and Management, Journal Year: 2022, Volume and Issue: 276, P. 116523 - 116523

Published: Dec. 8, 2022

Language: Английский

Citations

42
Efficient text document clustering approach using multi-search Arithmetic Optimization Algorithm DOI
Laith Abualigah, Khaled H. Almotairi, Mohammed A. A. Al‐qaness

et al.

Knowledge-Based Systems, Journal Year: 2022, Volume and Issue: 248, P. 108833 - 108833

Published: April 26, 2022

Language: Английский

Citations

41
Binary Approaches of Quantum-Based Avian Navigation Optimizer to Select Effective Features from High-Dimensional Medical Data DOI Creative Commons
Mohammad H. Nadimi-Shahraki, Ali Fatahi, Hoda Zamani

et al.

Mathematics, Journal Year: 2022, Volume and Issue: 10(15), P. 2770 - 2770

Published: Aug. 4, 2022

Many metaheuristic approaches have been developed to select effective features from different medical datasets in a feasible time. However, most of them cannot scale well large datasets, where they fail maximize the classification accuracy and simultaneously minimize number selected features. Therefore, this paper is devoted developing an efficient binary version quantum-based avian navigation optimizer algorithm (QANA) named BQANA, utilizing scalability QANA effectively optimal feature subset high-dimensional using two approaches. In first approach, several versions are S-shaped, V-shaped, U-shaped, Z-shaped, quadratic transfer functions map continuous solutions canonical ones. second mapped space by converting each variable 0 or 1 threshold. To evaluate proposed algorithm, first, all assessed on with varied sizes, including Pima, HeartEW, Lymphography, SPECT Heart, PenglungEW, Parkinson, Colon, SRBCT, Leukemia, Prostate tumor. The results show that BQANA approach superior other find datasets. Then, was compared nine well-known algorithms, were statistically Friedman test. experimental statistical demonstrate has merit for selection

Language: Английский

Citations

41
Self-adaptive moth flame optimizer combined with crossover operator and Fibonacci search strategy for COVID-19 CT image segmentation DOI Open Access
Saroj Kumar Sahoo, Essam H. Houssein, M. Premkumar

et al.

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 227, P. 120367 - 120367

Published: May 6, 2023

Language: Английский

Citations

39
An Improved Binary Quantum-based Avian Navigation Optimizer Algorithm to Select Effective Feature Subset from Medical Data: A COVID-19 Case Study DOI
Ali Fatahi, Mohammad H. Nadimi-Shahraki, Hoda Zamani

et al.

Journal of Bionic Engineering, Journal Year: 2023, Volume and Issue: 21(1), P. 426 - 446

Published: Sept. 25, 2023

Language: Английский

Citations

36
Fast fault detection method for photovoltaic arrays with adaptive deep multiscale feature enhancement DOI
Bin Gong, Aimin An, Yaoke Shi

et al.

Applied Energy, Journal Year: 2023, Volume and Issue: 353, P. 122071 - 122071

Published: Oct. 17, 2023

Language: Английский

Citations

24
A systematic review of applying grey wolf optimizer, its variants, and its developments in different Internet of Things applications DOI
Mohammad H. Nadimi-Shahraki, Hoda Zamani, Zahra Asghari Varzaneh

et al.

Internet of Things, Journal Year: 2024, Volume and Issue: 26, P. 101135 - 101135

Published: Feb. 22, 2024

Language: Английский

Citations

13