[HTML][HTML] 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 …
A comprehensive survey on machine learning approaches for malware detection in IoT-based enterprise information system
A Gaurav, BB Gupta, PK Panigrahi - Enterprise Information …, 2023 - Taylor & Francis
ABSTRACT The Internet of Things (IoT) is a relatively new technology that has piqued
academics' and business information systems' attention in recent years. The Internet of …
academics' and business information systems' attention in recent years. The Internet of …
Starling murmuration optimizer: A novel bio-inspired algorithm for global and engineering optimization
H Zamani, MH Nadimi-Shahraki… - Computer Methods in …, 2022 - Elsevier
This paper presents a novel bio-inspired algorithm inspired by starlings' behaviors during
their stunning murmuration named starling murmuration optimizer (SMO) to solve complex …
their stunning murmuration named starling murmuration optimizer (SMO) to solve complex …
An improved grey wolf optimizer for solving engineering problems
MH Nadimi-Shahraki, S Taghian, S Mirjalili - Expert Systems with …, 2021 - Elsevier
In this article, an Improved Grey Wolf Optimizer (I-GWO) is proposed for solving global
optimization and engineering design problems. This improvement is proposed to alleviate …
optimization and engineering design problems. This improvement is proposed to alleviate …
Policy iteration reinforcement learning-based control using a grey wolf optimizer algorithm
This paper presents a new Reinforcement Learning (RL)-based control approach that uses
the Policy Iteration (PI) and a metaheuristic Grey Wolf Optimizer (GWO) algorithm to train the …
the Policy Iteration (PI) and a metaheuristic Grey Wolf Optimizer (GWO) algorithm to train the …
Grasshopper optimization algorithm: theory, variants, and applications
Y Meraihi, AB Gabis, S Mirjalili… - Ieee …, 2021 - ieeexplore.ieee.org
Grasshopper Optimization Algorithm (GOA) is a recent swarm intelligence algorithm inspired
by the foraging and swarming behavior of grasshoppers in nature. The GOA algorithm has …
by the foraging and swarming behavior of grasshoppers in nature. The GOA algorithm has …
Neural network-based control using actor-critic reinforcement learning and grey wolf optimizer with experimental servo system validation
This paper introduces a novel reference tracking control approach implemented using a
combination of the Actor-Critic Reinforcement Learning (RL) framework and the Grey Wolf …
combination of the Actor-Critic Reinforcement Learning (RL) framework and the Grey Wolf …
[HTML][HTML] A systematic review on metaheuristic optimization techniques for feature selections in disease diagnosis: open issues and challenges
There is a need for some techniques to solve various problems in today's computing world.
Metaheuristic algorithms are one of the techniques which are capable of providing practical …
Metaheuristic algorithms are one of the techniques which are capable of providing practical …
Binary optimization using hybrid grey wolf optimization for feature selection
A binary version of the hybrid grey wolf optimization (GWO) and particle swarm optimization
(PSO) is proposed to solve feature selection problems in this paper. The original PSOGWO …
(PSO) is proposed to solve feature selection problems in this paper. The original PSOGWO …
An efficient binary salp swarm algorithm with crossover scheme for feature selection problems
Searching for the (near) optimal subset of features is a challenging problem in the process of
feature selection (FS). In the literature, Swarm Intelligence (SI) algorithms show superior …
feature selection (FS). In the literature, Swarm Intelligence (SI) algorithms show superior …