Advanced metaheuristic techniques for mechanical design problems
The design of complex mechanical components is a time-consuming process which involves
many design variables with multiple interacted objectives and constraints. Traditionally, the …
many design variables with multiple interacted objectives and constraints. Traditionally, the …
A comprehensive review on design and analysisof spur gears
Spur gear design and analysis is the most sought-after research area in the gear design
field. It provides detailed quantitative analysis for accurate gear design. As a result, design …
field. It provides detailed quantitative analysis for accurate gear design. As a result, design …
A new modified artificial bee colony algorithm for energy demand forecasting problem
The ability to accurately estimate energy consumption in the medium and long term based
on actual indications is critical for countries to plan and prioritize their futures and take the …
on actual indications is critical for countries to plan and prioritize their futures and take the …
Improvement of the computational efficiency of metaheuristic algorithms for the crack detection of cantilever beams using hybrid methods
This study examines the capability of various optimization algorithms and proposes novel
hybrid algorithms for more precise prediction of open-edge cracks in cantilever beams. The …
hybrid algorithms for more precise prediction of open-edge cracks in cantilever beams. The …
Application of evolutionary optimization techniques in reverse engineering of helical gears: an applied study
Reverse engineering plays an important role in the manufacturing and automobile industries
in designing complicated spare parts, reducing actual production time, and allowing for …
in designing complicated spare parts, reducing actual production time, and allowing for …
Unlocking the potential: A review of artificial intelligence applications in wind energy
This paper presents a comprehensive review of the most recent papers and research trends
in the fields of wind energy and artificial intelligence. Our study aims to guide future research …
in the fields of wind energy and artificial intelligence. Our study aims to guide future research …
Multi-Objective Optimization of Two-Stage Helical Pairs in Helical Hydraulic Rotary Actuator Using Ensemble of Metamodels and NSGA-II
S Liu, B Li, R Gan, Y Xu, G Yang - Actuators, 2023 - mdpi.com
This paper aims to optimize the two-stage helical pairs (TSHPs) in a helical hydraulic rotary
actuator (HHRA) in terms of volume, transmission efficiency, and maximum contact stress …
actuator (HHRA) in terms of volume, transmission efficiency, and maximum contact stress …
[PDF][PDF] The adaptation of gray wolf optimizer to data clustering
A Tekerek, M Dörterler - Politeknik Dergisi, 2020 - dergipark.org.tr
Data Clustering stands for a group of methods classifying patterns into groups and retrieving
similarities or dissimilarities of a collection of objects. Clustering is used for pattern …
similarities or dissimilarities of a collection of objects. Clustering is used for pattern …
Optimal design of spur gears using particle swarm optimization
R Fitas, C Fernandes, CC António - arXiv preprint arXiv:2401.08266, 2024 - arxiv.org
Optimizing the design of spur gears, regarding their mass or failure reduction, leads to
reduced costs. The proposed work is aimed at using Particle Swarm Optimization (PSO) to …
reduced costs. The proposed work is aimed at using Particle Swarm Optimization (PSO) to …
Numerical and experimental stress analysis of spur gears for weight reduction using radial holes
Geometric optimization for the optimal use of material and the weight reduction of gear is
possible by removing material from the gear teeth. The current research focuses on the …
possible by removing material from the gear teeth. The current research focuses on the …