Results 71 to 80 of about 529 (161)

Parameter calibration of finite element model of reinforced concrete arch bridge based on ISOA-RBF neural network

Scientific Reports
To achieve efficient and accurate finite element (FE) model updating for reinforced concrete (RC) arch bridges, this study proposes a novel methodology that integrates an Improved Seagull Optimization Algorithm (ISOA) with a Radial Basis Function (RBF ...
Wenping Peng, Zujun Zhang, Zhongchu Tian, Jijin Zhang, Guoliang Zeng   +4 more
doaj   +1 more source

Multi-Strategy Boosted Fick’s Law Algorithm for Engineering Optimization Problems and Parameter Estimation

Biomimetics
To address the shortcomings of the recently proposed Fick’s Law Algorithm, which is prone to local convergence and poor convergence efficiency, we propose a multi-strategy improved Fick’s Law Algorithm (FLAS).
Jialing Yan, Gang Hu, Jiulong Zhang
doaj   +1 more source

Multi-strategy seagull optimization for wireless sensor network deployment with chaotic and quantum enhancements

Journal of Engineering and Applied Science
The efficient placement of sensor nodes in a Wireless Sensor Network (WSN) ensures extensive coverage with little redundancy and energy consumption. Traditional metaheuristic approaches, such as the Seagull Optimization Algorithm (SOA), suffer from slow ...
Xubin Dong, Peng Lu, Xiaogang Wang
doaj   +1 more source

Optimal Coordination of Directional Overcurrent Relays (DOCR) Using Cheetah Optimizer

Tikrit Journal of Engineering Sciences
This paper suggests a nature-inspired optimization technique, the Cheetah Optimizer (CO), to achieve optimal Directional Overcurrent Relays (DOCRs) coordination.
Wisam Najm Al-Din Abed
doaj   +1 more source

Cam Ring Curve Optimization for Radial Hydraulic Motor Based on Seagull Algorithm

Strojniški vestnik - Journal of Mechanical Engineering
With the accelerated adjustment of the global energy structure, the intensity of strategic mineral resource development continues to rise. The growing demand for construction machinery and equipment has led to increased use of radial piston hydraulic motors, known for their low-speed and high-torque characteristics, in heavy-duty mining machinery and ...
Bowen Zhang, Shaopeng Kang, Runze Zhou, Hongbin Qiang, Jing Yang, Kailei Liu, Yunkai Zhou   +6 more
openaire   +2 more sources

Otsu Image Threshold Segmentation Method Based on Seagull Optimization Algorithm

Journal of Physics: Conference Series, 2020
Abstract In this paper, a two-dimensional Otsu image threshold segmentation method based on Seagull optimization is proposed. The Seagull algorithm is used to calculate the threshold points of two-dimensional Otsu image segmentation and segment the image. The algorithm makes full use of the seagull migration operator of global search and
openaire   +1 more source

Compressive strength prediction of fiber-reinforced recycled aggregate concrete based on optimization algorithms

Frontiers in Built Environment
With the growing emphasis on sustainable development in the construction industry, fiber-reinforced recycled aggregate concrete (BFRC) has attracted considerable attention due to its superior mechanical properties and environmental benefits.
Suping Duan
doaj   +1 more source

Hybrid Seagull Optimization Algorithm and Thermal Exchange Optimization for optimal routing in VANET [PDF]

Journal of Networking and Communication Systems (JNACS), 2021
openaire   +1 more source

Color image segmentation method based on extended active membrane system

Shenzhen Daxue xuebao. Ligong ban
To overcome the limitations when applying optimization algorithm, such as being prone to local optima and low convergence speed, and enhance performance of extended membrane systems in image processing, an improved northern goshawk optimization (INGO ...
XU Jiachang, GUO Jia, SU Shuzhi
doaj   +1 more source

An Optimization Method for Green Permutation Flow Shop Scheduling Based on Deep Reinforcement Learning and MOEA/D

Machines
This paper addresses the green permutation flow shop scheduling problem (GPFSP) with energy consumption consideration, aiming to minimize the maximum completion time and total energy consumption as optimization objectives, and proposes a new method that ...
Yongxin Lu, Yiping Yuan, Adilanmu Sitahong, Yongsheng Chao, Yunxuan Wang   +4 more
doaj   +1 more source