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 …
Intrusion detection system for large-scale IoT NetFlow networks using machine learning with modified Arithmetic Optimization Algorithm
With the rapid expansion of Internet of Things (IoT) networks, the need for robust security
measures to detect and report potential threats is becoming more urgent. In this paper, we …
measures to detect and report potential threats is becoming more urgent. In this paper, we …
[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 …
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 …
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 …
Crayfish optimization algorithm
This paper proposes a meta heuristic optimization algorithm, called Crayfish Optimization
Algorithm (COA), which simulates crayfish's summer resort behavior, competition behavior …
Algorithm (COA), which simulates crayfish's summer resort behavior, competition behavior …
Liver Cancer Algorithm: A novel bio-inspired optimizer
This paper introduces a new bio-inspired optimization algorithm named the Liver Cancer
Algorithm (LCA), which mimics the liver tumor growth and takeover process. It uses an …
Algorithm (LCA), which mimics the liver tumor growth and takeover process. It uses an …
Osprey optimization algorithm: A new bio-inspired metaheuristic algorithm for solving engineering optimization problems
This paper introduces a new metaheuristic algorithm named the Osprey Optimization
Algorithm (OOA), which imitates the behavior of osprey in nature. The fundamental …
Algorithm (OOA), which imitates the behavior of osprey in nature. The fundamental …
A sinh cosh optimizer
Currently, meta-heuristic algorithms have been widely studied and applied, but balancing
exploration and exploitation remains a challenge. In this study, a novel meta-heuristic …
exploration and exploitation remains a challenge. In this study, a novel meta-heuristic …
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 …