A novel meta-heuristic algorithm for solving numerical optimization problems: Ali Baba and the forty thieves
This paper presents a novel meta-heuristic algorithm called Ali Baba and the forty thieves
(AFT) for solving global optimization problems. Recall the famous tale of Ali Baba and the …
(AFT) for solving global optimization problems. Recall the famous tale of Ali Baba and the …
A chaotic strategy-based quadratic opposition-based learning adaptive variable-speed whale optimization algorithm
M Li, G Xu, Q Lai, J Chen - Mathematics and Computers in Simulation, 2022 - Elsevier
In this paper, a chaotic strategy-based quadratic opposition-based learning adaptive
variable-speed whale optimization algorithm is proposed. The improved algorithm is used to …
variable-speed whale optimization algorithm is proposed. The improved algorithm is used to …
An optimization method for intrusion detection classification model based on deep belief network
P Wei, Y Li, Z Zhang, T Hu, Z Li, D Liu - Ieee Access, 2019 - ieeexplore.ieee.org
The rapid development and popularization of the network have brought many problems to
network security. Intrusion detection technology is often used as an effective security …
network security. Intrusion detection technology is often used as an effective security …
DLGA-PDE: Discovery of PDEs with incomplete candidate library via combination of deep learning and genetic algorithm
Data-driven methods have recently been developed to discover underlying partial
differential equations (PDEs) of physical problems. However, for these methods, a complete …
differential equations (PDEs) of physical problems. However, for these methods, a complete …
Predicting municipal solid waste using a coupled artificial neural network with archimedes optimisation algorithm and socioeconomic components
Solid Waste (SW) is one of the critical challenges of urban life. These SWs are considered
environmental pollutants that are a threat to ecology and human health. Predicting SW …
environmental pollutants that are a threat to ecology and human health. Predicting SW …
Improved binary pigeon-inspired optimization and its application for feature selection
Abstract The Pigeon-Inspired Optimization (PIO) algorithm is an intelligent algorithm inspired
by the behavior of pigeons returned to the nest. The binary pigeon-inspired optimization …
by the behavior of pigeons returned to the nest. The binary pigeon-inspired optimization …
An opposition-based chaotic salp swarm algorithm for global optimization
X Zhao, F Yang, Y Han, Y Cui - IEEE Access, 2020 - ieeexplore.ieee.org
The salp swarm algorithm (SSA) is a bio-heuristic optimization algorithm proposed in 2017.
It has been proved that SSA has competitive results compared to several other well-known …
It has been proved that SSA has competitive results compared to several other well-known …
[HTML][HTML] Monitoring of dam reservoir storage with multiple satellite sensors and artificial intelligence
Iran is an arid and semi-arid country, for this reason, monitoring dam reservoir storage
(DRS) is very important for water resources planning. In this research, Latyan DRS in East …
(DRS) is very important for water resources planning. In this research, Latyan DRS in East …
A Genetic Algorithm-based sequential instance selection framework for ensemble learning
C Xu, S Zhang - Expert Systems with Applications, 2024 - Elsevier
The accumulation of large amounts of historical data has led to the wide application of
ensemble learning over the past few decades, but the balance between the individual …
ensemble learning over the past few decades, but the balance between the individual …
Development of a knowledge-sharing parallel computing approach for calibrating distributed watershed hydrologic models
M Asgari, W Yang, J Lindsay, H Shao, Y Liu… - … Modelling & Software, 2023 - Elsevier
A research gap in calibrating distributed watershed hydrologic models lies in the
development of calibration frameworks adaptable to increasing complexity of hydrologic …
development of calibration frameworks adaptable to increasing complexity of hydrologic …