An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges
As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
Intelligent optimization: Literature review and state-of-the-art algorithms (1965–2022)
A Mohammadi, F Sheikholeslam - Engineering Applications of Artificial …, 2023 - Elsevier
Today, intelligent optimization has become a science that few researchers have not used in
dealing with problems in their field. Diversity and flexibility have made the use, efficiency …
dealing with problems in their field. Diversity and flexibility have made the use, efficiency …
A novel chaotic Runge Kutta optimization algorithm for solving constrained engineering problems
This study proposes a novel hybrid metaheuristic optimization algorithm named chaotic
Runge Kutta optimization (CRUN). In this study, 10 diverse chaotic maps are being …
Runge Kutta optimization (CRUN). In this study, 10 diverse chaotic maps are being …
Red-tailed hawk algorithm for numerical optimization and real-world problems
This study suggests a new nature-inspired metaheuristic optimization algorithm called the
red-tailed hawk algorithm (RTH). As a predator, the red-tailed hawk has a hunting strategy …
red-tailed hawk algorithm (RTH). As a predator, the red-tailed hawk has a hunting strategy …
MMKE: Multi-trial vector-based monkey king evolution algorithm and its applications for engineering optimization problems
Monkey king evolution (MKE) is a population-based differential evolutionary algorithm in
which the single evolution strategy and the control parameter affect the convergence and the …
which the single evolution strategy and the control parameter affect the convergence and the …
Social network search for solving engineering optimization problems
H Bayzidi, S Talatahari, M Saraee… - Computational …, 2021 - Wiley Online Library
In this paper, a new metaheuristic optimization algorithm, called social network search
(SNS), is employed for solving mixed continuous/discrete engineering optimization …
(SNS), is employed for solving mixed continuous/discrete engineering optimization …
Grid-based many-objective optimiser for aircraft conceptual design with multiple aircraft configurations
P Champasak, N Panagant, N Pholdee… - … Applications of Artificial …, 2023 - Elsevier
This paper presents an aircraft conceptual design technique with more than three objective
functions, called many-objective optimisation. The selection of aircraft configuration is …
functions, called many-objective optimisation. The selection of aircraft configuration is …
Enhanced Harris hawks optimization-based fuzzy k-nearest neighbor algorithm for diagnosis of Alzheimer's disease
Q Zhang, J Sheng, Q Zhang, L Wang, Z Yang… - Computers in Biology …, 2023 - Elsevier
In order to stop deterioration and give patients with Alzheimer's disease (AD) early therapy, it
is crucial to correctly diagnose AD and its early stage, mild cognitive impairment (MCI). A …
is crucial to correctly diagnose AD and its early stage, mild cognitive impairment (MCI). A …
Advances of metaheuristic algorithms in training neural networks for industrial applications
In recent decades, researches on optimizing the parameter of the artificial neural network
(ANN) model has attracted significant attention from researchers. Hybridization of superior …
(ANN) model has attracted significant attention from researchers. Hybridization of superior …
Discrete farmland fertility optimization algorithm with metropolis acceptance criterion for traveling salesman problems
Abstract Traveling Salesman Problem (TSP) is an intricate discrete hybrid optimization
problem that is categorized as an NP‐Hard problem. The objective of the TSP is to find the …
problem that is categorized as an NP‐Hard problem. The objective of the TSP is to find the …