Crow search algorithm: theory, recent advances, and applications
In this article, a comprehensive overview of the Crow Search Algorithm (CSA) is introduced
with detailed discussions, which is intended to keep researchers interested in swarm …
with detailed discussions, which is intended to keep researchers interested in swarm …
Comprehensive taxonomies of nature-and bio-inspired optimization: Inspiration versus algorithmic behavior, critical analysis recommendations
In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …
order to efficiently address complex optimization problems. In the last years the number of …
Development and application of slime mould algorithm for optimal economic emission dispatch
In this paper, an Improved version of the Slime Mould Algorithm (ISMA) is proposed and
applied to efficiently solve the single-and bi-objective Economic and Emission Dispatch …
applied to efficiently solve the single-and bi-objective Economic and Emission Dispatch …
Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm
The novelty of this article lies in introducing a novel stochastic technique named the
Hippopotamus Optimization (HO) algorithm. The HO is conceived by drawing inspiration …
Hippopotamus Optimization (HO) algorithm. The HO is conceived by drawing inspiration …
Development of deep learning method for predicting DC power based on renewable solar energy and multi-parameters function
S Al-Janabi, Z Al-Janabi - Neural Computing and Applications, 2023 - Springer
In recent decades, the world has witnessed a great expansion in the world of technology
and electronics, in addition to the tremendous development in various industries, which has …
and electronics, in addition to the tremendous development in various industries, which has …
[HTML][HTML] An innovative synthesis of optmization techniques (FDIRE-GSK) for generation electrical renewable energy from natural resources
Based on the principle that the upgrading of any nation begins by raising the level of
performance of its institutions that serve the community, including the Ministry of Electricity …
performance of its institutions that serve the community, including the Ministry of Electricity …
AIEOU: Automata-based improved equilibrium optimizer with U-shaped transfer function for feature selection
High dimensional data has become an essential challenge to address in Data Science and
Machine Learning. Reducing the number of dimensions by excluding noisy, irrelevant, or …
Machine Learning. Reducing the number of dimensions by excluding noisy, irrelevant, or …
Squid game optimizer (SGO): A novel metaheuristic algorithm
Abstract In this paper, Squid Game Optimizer (SGO) is proposed as a novel metaheuristic
algorithm inspired by the primary rules of a traditional Korean game. Squid game is a …
algorithm inspired by the primary rules of a traditional Korean game. Squid game is a …
Chaotic arithmetic optimization algorithm
XD Li, JS Wang, WK Hao, M Zhang, M Wang - Applied Intelligence, 2022 - Springer
Abstract Arithmetic Optimization Algorithm (AOA) is a meta-heuristic algorithm. Its main idea
is to use the distribution behavior of the four main mathematical operators of addition (A) …
is to use the distribution behavior of the four main mathematical operators of addition (A) …
IoT based arrhythmia classification using the enhanced hunt optimization‐based deep learning
The advancement of information technology, the Internet of Things (IoT), and several
miniaturize equipment's enhances the healthcare field that provides real‐time patient …
miniaturize equipment's enhances the healthcare field that provides real‐time patient …