Moth flame optimization: theory, modifications, hybridizations, and applications
The Moth flame optimization (MFO) algorithm belongs to the swarm intelligence family and is
applied to solve complex real-world optimization problems in numerous domains. MFO and …
applied to solve complex real-world optimization problems in numerous domains. MFO and …
Enhanced maximum power point techniques for solar photovoltaic system under uniform insolation and partial shading conditions: a review
In the recent past, the solar photovoltaic (PV) system has emerged as the most promising
source of alternative energy. This solar PV system suffers from an unavoidable phenomenon …
source of alternative energy. This solar PV system suffers from an unavoidable phenomenon …
Prevention of DDoS attacks using an optimized deep learning approach in blockchain technology
Abstract The attack named Distributed Denial of Service (DDoS) that takes place in the large
blockchain network requires an efficient and robust attack detection and prevention …
blockchain network requires an efficient and robust attack detection and prevention …
A comprehensive review of recent maximum power point tracking techniques for photovoltaic systems under partial shading
To operate photovoltaic (PV) systems efficiently, the maximum available power should
always be extracted. However, due to rapidly varying environmental conditions such as …
always be extracted. However, due to rapidly varying environmental conditions such as …
Role of metaheuristic approaches for implementation of integrated MPPT-PV systems: a comprehensive study
An effective MPPT approach plays a significant role in increasing the efficiency of a PV
system. Solar energy is a rich renewable energy source that is supplied to the earth in …
system. Solar energy is a rich renewable energy source that is supplied to the earth in …
Enhancing heart disease classification based on greylag goose optimization algorithm and long short-term memory
Heart disease is a category of various conditions that affect the heart, which includes
multiple diseases that influence its structure and operation. Such conditions may consist of …
multiple diseases that influence its structure and operation. Such conditions may consist of …
Simulated annealing aided genetic algorithm for gene selection from microarray data
S Marjit, T Bhattacharyya, B Chatterjee… - Computers in Biology and …, 2023 - Elsevier
In recent times, microarray gene expression datasets have gained significant popularity due
to their usefulness to identify different types of cancer directly through bio-markers. These …
to their usefulness to identify different types of cancer directly through bio-markers. These …
Use of generalized refined composite multiscale fractional dispersion entropy to diagnose the faults of rolling bearing
J Zheng, H Pan - Nonlinear Dynamics, 2020 - Springer
A typical symptom of vibration signals collected from rolling bearings with local faults is the
existence of periodic transients, which makes the intrinsic structure of vibration signals …
existence of periodic transients, which makes the intrinsic structure of vibration signals …
A fusion algorithm based on whale and grey wolf optimization algorithm for solving real-world optimization problems
Q Yang, J Liu, Z Wu, S He - Applied Soft Computing, 2023 - Elsevier
In order to better understand and analyze population-based meta-heuristic optimization
algorithms, this paper proposed a new hybrid algorithm combined Lévy flight with modified …
algorithms, this paper proposed a new hybrid algorithm combined Lévy flight with modified …
A food bank network design examining food nutritional value and freshness: A multi objective robust fuzzy model
One main reason for food scarcity is its improper and uneven distribution amongst those
who require aid. To overcome this issue, charities and food banks serve as the connection …
who require aid. To overcome this issue, charities and food banks serve as the connection …