Horizontal and vertical search artificial bee colony for image segmentation of COVID-19 X-ray images
H Su, D Zhao, F Yu, AA Heidari, Y Zhang… - Computers in Biology …, 2022 - Elsevier
The artificial bee colony algorithm (ABC) has been successfully applied to various
optimization problems, but the algorithm still suffers from slow convergence and poor quality …
optimization problems, but the algorithm still suffers from slow convergence and poor quality …
Improved artificial bee colony algorithm-based path planning of unmanned autonomous helicopter using multi-strategy evolutionary learning
Z Han, M Chen, S Shao, Q Wu - Aerospace Science and Technology, 2022 - Elsevier
Aiming at producing a high-quality flight path for the unmanned autonomous helicopter with
multi-constraints, a path planning method is proposed based on the multi-strategy …
multi-constraints, a path planning method is proposed based on the multi-strategy …
Nature-Inspired Heuristic Frameworks Trends in Solving Multi-objective Engineering Optimization Problems
Nowadays, nature-inspired artificial intelligent metaheuristic optimization algorithms
(MHOAs) have gained many attentions from researchers all over the world due to their …
(MHOAs) have gained many attentions from researchers all over the world due to their …
Making cities smarter—optimization problems for the iot enabled smart city development: A mapping of applications, objectives, constraints
AS Syed, D Sierra-Sosa, A Kumar, A Elmaghraby - Sensors, 2022 - mdpi.com
One of the prime aims of smart cities has been to optimally manage the available resources
and systems that are used in the city. With an increase in urban population that is set to grow …
and systems that are used in the city. With an increase in urban population that is set to grow …
The combined social engineering particle swarm optimization for real-world engineering problems: A case study of model-based structural health monitoring
Structural health monitoring (SHM) is a substantial research direction in structural
engineering being scrutinized in recent years due to its significance in ensuring structural …
engineering being scrutinized in recent years due to its significance in ensuring structural …
[HTML][HTML] Optimized functional linked neural network for predicting diaphragm wall deflection induced by braced excavations in clays
C Xie, H Nguyen, Y Choi, DJ Armaghani - Geoscience Frontiers, 2022 - Elsevier
Deep excavation during the construction of underground systems can cause movement on
the ground, especially in soft clay layers. At high levels, excessive ground movements can …
the ground, especially in soft clay layers. At high levels, excessive ground movements can …
A novel cluster head selection using Hybrid Artificial Bee Colony and Firefly Algorithm for network lifetime and stability in WSNs
Wireless Sensor Networks (WSNs) are capable of achieving data dissemination between
them such that exploration of their potential could be performed based on their frequency …
them such that exploration of their potential could be performed based on their frequency …
Structural damage identification considering uncertainties based on a Jaya algorithm with a local pattern search strategy and L0. 5 sparse regularization
This study develops an improved Jaya algorithm for structural damage identification
considering various uncertainties using vibration data. Most studies consider uncertainties …
considering various uncertainties using vibration data. Most studies consider uncertainties …
[HTML][HTML] A robust FRF damage indicator combined with optimization techniques for damage assessment in complex truss structures
Vibration-based damage detection tools are frequently employed because of their
advantages over other non-destructive techniques. This paper presents an improved …
advantages over other non-destructive techniques. This paper presents an improved …
Efficiency of the slime mold algorithm for damage detection of large‐scale structures
P Ghannadi, SS Kourehli - The Structural Design of Tall and …, 2022 - Wiley Online Library
Optimization‐based methods are increasingly being implemented for structural damage
detection problems through the minimization of the objective functions based on vibration …
detection problems through the minimization of the objective functions based on vibration …