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 …
Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …
application areas. Since multi-sensor is defined by the presence of more than one model or …
RIME: A physics-based optimization
This paper proposes an efficient optimization algorithm based on the physical phenomenon
of rime-ice, called the RIME. The RIME algorithm implements the exploration and …
of rime-ice, called the RIME. The RIME algorithm implements the exploration and …
Dung beetle optimizer: A new meta-heuristic algorithm for global optimization
J Xue, B Shen - The Journal of Supercomputing, 2023 - Springer
In this paper, a novel population-based technique called dung beetle optimizer (DBO)
algorithm is presented, which is inspired by the ball-rolling, dancing, foraging, stealing, and …
algorithm is presented, which is inspired by the ball-rolling, dancing, foraging, stealing, and …
[HTML][HTML] Coati Optimization Algorithm: A new bio-inspired metaheuristic algorithm for solving optimization problems
In this paper, a new metaheuristic algorithm called the Coati Optimization Algorithm (COA) is
introduced, which mimics coati behavior in nature. The fundamental idea of COA is the …
introduced, which mimics coati behavior in nature. The fundamental idea of COA is the …
DETDO: An adaptive hybrid dandelion optimizer for engineering optimization
G Hu, Y Zheng, L Abualigah, AG Hussien - Advanced Engineering …, 2023 - Elsevier
Dandelion Optimizer (DO) is a recently proposed swarm intelligence algorithm that
coincides with the process of finding the best reproduction site for dandelion seeds …
coincides with the process of finding the best reproduction site for dandelion seeds …
Artificial rabbits optimization: A new bio-inspired meta-heuristic algorithm for solving engineering optimization problems
In this paper, a new bio-inspired meta-heuristic algorithm, named artificial rabbits
optimization (ARO), is proposed and tested comprehensively. The inspiration of the ARO …
optimization (ARO), is proposed and tested comprehensively. The inspiration of the ARO …
Beluga whale optimization: A novel nature-inspired metaheuristic algorithm
In this paper, a novel swarm-based metaheuristic algorithm inspired from the behaviors of
beluga whales, called beluga whale optimization (BWO), is presented to solve optimization …
beluga whales, called beluga whale optimization (BWO), is presented to solve optimization …
Golden jackal optimization: A novel nature-inspired optimizer for engineering applications
N Chopra, MM Ansari - Expert Systems with Applications, 2022 - Elsevier
A new nature-inspired optimization method, named the Golden Jackal Optimization (GJO)
algorithm is proposed, which aims to provide an alternative optimization method for solving …
algorithm is proposed, which aims to provide an alternative optimization method for solving …
Kepler optimization algorithm: A new metaheuristic algorithm inspired by Kepler's laws of planetary motion
M Abdel-Basset, R Mohamed, SAA Azeem… - Knowledge-based …, 2023 - Elsevier
This study presents a novel physics-based metaheuristic algorithm called Kepler
optimization algorithm (KOA), inspired by Kepler's laws of planetary motion to predict the …
optimization algorithm (KOA), inspired by Kepler's laws of planetary motion to predict the …