[HTML][HTML] Differential evolution: A recent review based on state-of-the-art works
Differential evolution (DE) is a popular evolutionary algorithm inspired by Darwin's theory of
evolution and has been studied extensively to solve different areas of optimisation and …
evolution and has been studied extensively to solve different areas of optimisation and …
[HTML][HTML] Emperor penguin optimizer: A comprehensive review based on state-of-the-art meta-heuristic algorithms
Meta heuristics is an optimization approach that works as an intelligent technique to solve
optimization problems. Evolutionary algorithms, human-based algorithms, physics-based …
optimization problems. Evolutionary algorithms, human-based algorithms, physics-based …
Software defects prediction by metaheuristics tuned extreme gradient boosting and analysis based on shapley additive explanations
Software testing represents a crucial component of software development, and it is usually
making the difference between successful and failed projects. Although it is extremely …
making the difference between successful and failed projects. Although it is extremely …
Parameters identification of a permanent magnet dc motor: A review
MF Fazdi, PW Hsueh - Electronics, 2023 - mdpi.com
Since permanent magnet direct current (DC) motors are mainly used in various industrial
automation applications, the demand for electric motors is increasing rapidly. However, in …
automation applications, the demand for electric motors is increasing rapidly. However, in …
[HTML][HTML] A novel optimization algorithm based PID controller design for real-time optimization of cutting depth and surface roughness in finish hard turning processes
This paper proposes a novel method to improve surface finish in turning processes by
effectively controlling the cutting depth. A metaheuristic algorithm based PID control system …
effectively controlling the cutting depth. A metaheuristic algorithm based PID control system …
[HTML][HTML] New coding scheme to compile circuits for quantum approximate optimization algorithm by genetic evolution
Compiling quantum circuits on target quantum hardware architectures is one of the key
issues in the development of quantum algorithms, and the related problem is known as the …
issues in the development of quantum algorithms, and the related problem is known as the …
[HTML][HTML] Dynamic maintenance scheduling approach under uncertainty: Comparison between reinforcement learning, genetic algorithm simheuristic, dispatching rules
Maintenance planning and scheduling are an essential part of manufacturing companies to
prevent machine breakdowns and increase machine uptime, along with production …
prevent machine breakdowns and increase machine uptime, along with production …
GA-based optimization for multivariable level control system: A case study of multi-tank system
This paper presents a systematic way to determine the trade-off optimized controller tunings
using computation optimization technique for both servo and regulatory controls of the Multi …
using computation optimization technique for both servo and regulatory controls of the Multi …
[PDF][PDF] Detailed modelling and simulation of different DC motor types for research and educational purposes
The devastating impact of Covid-19 pandemic accelerated the shift to elearning in the higher
education. Particularly in the electrical machines' courses, that often include laboratory …
education. Particularly in the electrical machines' courses, that often include laboratory …
A generalized bilevel optimization model for large-scale task scheduling in multiple agile earth observation satellites
Scheduling large-scale tasks within a multi-agile earth observation satellite system poses a
formidable challenge. Given the complexity of this optimization problem, the responding …
formidable challenge. Given the complexity of this optimization problem, the responding …