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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 …
Recent developments of energy management strategies in microgrids: An updated and comprehensive review and classification
Energy is one of the essential foundations for the sustainable development of human
society, so its management is necessary. Energy management system (EMS) can be …
society, so its management is necessary. Energy management system (EMS) can be …
Genghis Khan shark optimizer: A novel nature-inspired algorithm for engineering optimization
G Hu, Y Guo, G Wei, L Abualigah - Advanced Engineering Informatics, 2023 - Elsevier
This study tenders a new nature-inspired metaheuristic algorithm (MA) based on the
behavior of the Genghis Khan shark (GKS), called GKS optimizer (GKSO), which is used for …
behavior of the Genghis Khan shark (GKS), called GKS optimizer (GKSO), which is used for …
Electric eel foraging optimization: A new bio-inspired optimizer for engineering applications
W Zhao, L Wang, Z Zhang, H Fan, J Zhang… - Expert systems with …, 2024 - Elsevier
An original swarm-based, bio-inspired metaheuristic algorithm, named electric eel foraging
optimization (EEFO) is developed and tested in this work. EEFO draws inspiration from the …
optimization (EEFO) is developed and tested in this work. EEFO draws inspiration from the …
Walrus optimizer: A novel nature-inspired metaheuristic algorithm
M Han, Z Du, KF Yuen, H Zhu, Y Li, Q Yuan - Expert Systems with …, 2024 - Elsevier
Metaheuristic algorithms are intelligent optimization approaches that lead the searching
procedure through utilizing exploitation and exploration. The increasing complexity of real …
procedure through utilizing exploitation and exploration. The increasing complexity of real …
White Shark Optimizer: A novel bio-inspired meta-heuristic algorithm for global optimization problems
This paper presents a novel meta-heuristic algorithm so-called White Shark Optimizer
(WSO) to solve optimization problems over a continuous search space. The core ideas and …
(WSO) to solve optimization problems over a continuous search space. The core ideas and …
Dwarf mongoose optimization algorithm
This paper proposes a new metaheuristic algorithm called dwarf mongoose optimization
algorithm (DMO) to solve the classical and CEC 2020 benchmark functions and 12 …
algorithm (DMO) to solve the classical and CEC 2020 benchmark functions and 12 …
Fire Hawk Optimizer: A novel metaheuristic algorithm
This study proposes the Fire Hawk Optimizer (FHO) as a novel metaheuristic algorithm
based on the foraging behavior of whistling kites, black kites and brown falcons. These birds …
based on the foraging behavior of whistling kites, black kites and brown falcons. These birds …
Energy valley optimizer: a novel metaheuristic algorithm for global and engineering optimization
Abstract In this paper, Energy Valley Optimizer (EVO) is proposed as a novel metaheuristic
algorithm inspired by advanced physics principles regarding stability and different modes of …
algorithm inspired by advanced physics principles regarding stability and different modes of …
Application of meta-heuristic algorithms for training neural networks and deep learning architectures: A comprehensive review
The learning process and hyper-parameter optimization of artificial neural networks (ANNs)
and deep learning (DL) architectures is considered one of the most challenging machine …
and deep learning (DL) architectures is considered one of the most challenging machine …