A critical review of moth-flame optimization algorithm and its variants: structural reviewing, performance evaluation, and statistical analysis
A growing trend of introducing new metaheuristic algorithms and their improvements is
observed with almost the same inherited weaknesses. The main reason is that a few studies …
observed with almost the same inherited weaknesses. The main reason is that a few studies …
An improved binary quantum-based avian navigation optimizer algorithm to select effective feature subset from medical data: A COVID-19 case study
Abstract Feature Subset Selection (FSS) is an NP-hard problem to remove redundant and
irrelevant features particularly from medical data, and it can be effectively addressed by …
irrelevant features particularly from medical data, and it can be effectively addressed by …
A systematic review of applying grey wolf optimizer, its variants, and its developments in different Internet of Things applications
Abstract The Internet of Things (IoT) shapes an organization of objects that can interface and
share information with different devices using sensors, computer programs, and other …
share information with different devices using sensors, computer programs, and other …
An evolutionary crow search algorithm equipped with interactive memory mechanism to optimize artificial neural network for disease diagnosis
H Zamani, MH Nadimi-Shahraki - Biomedical Signal Processing and …, 2024 - Elsevier
Artificial neural network (ANN) is an information processing paradigm that loosely models
the thinking patterns of the human brain with specifications such as real-time learning, self …
the thinking patterns of the human brain with specifications such as real-time learning, self …
[HTML][HTML] Gaussian bare-bones Levy circulatory system-based optimization for power flow in the presence of renewable units
Abstract The Optimal Power Flow (OPF) is a vital issue in electrical networks to ensure the
economical and safe operation to transfer electrical energy that is very complex, non-linear …
economical and safe operation to transfer electrical energy that is very complex, non-linear …
[HTML][HTML] Black-winged kite algorithm: a nature-inspired meta-heuristic for solving benchmark functions and engineering problems
J Wang, W Wang, X Hu, L Qiu, H Zang - Artificial Intelligence Review, 2024 - Springer
This paper innovatively proposes the Black Kite Algorithm (BKA), a meta-heuristic
optimization algorithm inspired by the migratory and predatory behavior of the black kite …
optimization algorithm inspired by the migratory and predatory behavior of the black kite …
Optimal operation of coordinated multi-carrier energy hubs for integrated electricity and gas networks
Q Liu, W Li, Z Zhao, G Jian - Energy, 2024 - Elsevier
Abstract" In the field of energy supply, coordinated multi-carrier systems, which include
natural gas and electric energy, offer unique opportunities to enhance energy efficiency and …
natural gas and electric energy, offer unique opportunities to enhance energy efficiency and …
[HTML][HTML] Estimating daily kiwifruit evapotranspiration under regulated deficit irrigation strategy using optimized surface resistance based model
Accurate evapotranspiration (ET) estimation is paramount for effective agricultural water
management. As the key parameter of surface resistance (rs)-based ET models, the direct …
management. As the key parameter of surface resistance (rs)-based ET models, the direct …
[HTML][HTML] Symmetric projection optimizer: concise and efficient solving engineering problems using the fundamental wave of the Fourier series
H Su, Z Dong, Y Liu, Y Mu, S Li, L Xia - Scientific Reports, 2024 - nature.com
The fitness function value is a kind of important information in the search process, which can
be more targeted according to the guidance of the fitness function value. Most existing meta …
be more targeted according to the guidance of the fitness function value. Most existing meta …
[HTML][HTML] Metaheuristic optimization algorithm based cascaded control schemes for nonlinear ball and balancer system
The ball and balancer system is a popular research platform for studying underactuated
mechanical systems and developing control algorithms. It is a well-known two-dimensional …
mechanical systems and developing control algorithms. It is a well-known two-dimensional …