The optimization problems that must meet more than one objective are called multi-objective optimization problems and may present several optimal solutions. This manuscript brings …
H Yang, L Yang, Z Yang, Y Shan, H Gu, J Ma… - Composite …, 2023 - Elsevier
Advanced composite materials are prone to various types of damage during the process of manufacturing and long-time service. Ultrasonic detection methods have been widely …
With the advancement of computing and inspired by optimal phenomena found in nature, several algorithms capable of solving complex engineering problems have been developed …
This work aims to develop a Structural Health Monitoring methodology that maximizes the acquired modal response and minimizes the number of sensors in a helicopter's main rotor …
Y Lv, Q Zhou, Y Li, W Li - Advanced Engineering Informatics, 2021 - Elsevier
Predictive maintenance of production equipment is a prerequisite to ensure safe and reliable manufacturing operations. To avoid unexpected shutdown and even casualties …
EH Nezhad, R Ebrahimi, M Ghanbari - Expert Systems with Applications, 2023 - Elsevier
In this paper, multi-objective allocation of photovoltaic (PV) energy resources (MO-APVER) in unbalanced 33-bus distribution network is performed widely with objective of minimizing …
Optimization is an essential tool to minimize or maximize functions, obtaining optimal results on costs, mass, energy, gains, among others. Actual problems may be multimodal …
Laminated composite structures performance and behavior can be affected by damage that is not always visible on the surface. The need to monitor the health of these structures has …
Deep learning techniques have found applications across diverse fields, enhancing the efficiency and effectiveness of decision-making processes. The integration of these …