Results 21 to 30 of about 654 (182)

A Hybrid Heuristic Model for Duty Cycle Framework Optimization

International Journal of Distributed Sensor Networks
This paper proposes a hybrid metaheuristic approach to optimize a duty cycle framework based on Seagull and Mayfly Optimization (HSMO-DC) Algorithm.
Kwabena Ansah, Justice Kwame Appati, Ebenezer Owusu, Jamal-Deen Abdulai   +3 more
doaj   +2 more sources

Research on Unmanned Aerial Vehicle Emergency Support System and Optimization Method Based on Gaussian Global Seagull Algorithm

Drones
In emergency rescue scenarios, drones can be equipped with different payloads as needed to aid in tasks such as disaster reconnaissance, situational awareness, communication support, and material assistance.
Songyue Han, Mingyu Wang, Junhong Duan, Jialong Zhang, Dongdong Li   +4 more
doaj   +2 more sources

Research on Coverage Optimization in a WSN Based on an Improved COOT Bird Algorithm

Sensors, 2022
To address the problems of uneven distribution and low coverage of wireless sensor network (WSN) nodes in random deployment, a node coverage optimization strategy with an improved COOT bird algorithm (COOTCLCO) is proposed.
Yihui Huang, Jing Zhang, Wei Wei, Tao Qin, Yuancheng Fan, Xuemei Luo, Jing Yang   +6 more
doaj   +2 more sources

A multi-objective fuzzy programming model for port tugboat scheduling based on the Stackelberg game [PDF]

Scientific Reports
To solve the optimization problem of tugboat scheduling for assisting ships in entering and exiting ports in uncertain environments, this study investigates the impact of the decisions of tugboat operators and port dispatchers on tugboat scheduling under
Yangjun Ren, Qiong Chen, Yui-yip Lau, Maxim A. Dulebenets, Botang Li, Mengchi Li   +5 more
doaj   +2 more sources

CSCAHHO: Chaotic hybridization algorithm of the Sine Cosine with Harris Hawk optimization algorithms for solving global optimization problems.

PLoS ONE, 2022
Because of the No Free Lunch (NFL) rule, we are still under the way developing new algorithms and improving the capabilities of the existed algorithms. Under consideration of the simple and steady convergence capability of the sine cosine algorithm (SCA)
Yu-Jun Zhang, Yu-Xin Yan, Juan Zhao, Zheng-Ming Gao   +3 more
doaj   +2 more sources

Human Activity Recognition Using Hybrid Coronavirus Disease Optimization Algorithm for Internet of Medical Things

Sensors, 2023
Background: In our current digital world, smartphones are no longer limited to communication but are used in various real-world applications. In the healthcare industry, smartphones have sensors that can record data about our daily activities.
Asmaa M. Khalid, Doaa Sami Khafaga, Eman Abdullah Aldakheel, Khalid M. Hosny   +3 more
doaj   +2 more sources

Multi-Objective Seagull Optimization Algorithm with Deep Learning-Enabled Vulnerability Detection for Secure Cloud Environments. [PDF]

Sensors (Basel), 2023
Cloud computing (CC) is an internet-enabled environment that provides computing services such as networking, databases, and servers to clients and organizations in a cost-effective manner.
Aljebreen M, Alohali MA, Mahgoub H, Aljameel SS, Alsumayt A, Sayed A.   +5 more
europepmc   +2 more sources

Multilevel Threshold Segmentation of Skin Lesions in Color Images Using Coronavirus Optimization Algorithm

Diagnostics, 2023
Skin Cancer (SC) is among the most hazardous due to its high mortality rate. Therefore, early detection of this disease would be very helpful in the treatment process.
Yousef S. Alsahafi, Doaa S. Elshora, Ehab R. Mohamed, Khalid M. Hosny   +3 more
doaj   +2 more sources

Optimal distributed generation allocation in radial distribution networks using a modified seagull optimization algorithm with elite reserve strategy

Energy Conversion and Management: X
Reconstructing radial distribution networks (RDNs) by integrating distributed generation (DG) is essential for enhancing the sustainability, reliability, and flexibility of power supply, thereby improving renewable energy utilization.
Jie Qian, Min Wei, Ping Wang, Fei Wang, Jianbo Dai   +4 more
doaj   +2 more sources

A Tent-Lévy-Based Seagull Optimization Algorithm for the Multi-UAV Collaborative Task Allocation Problem

Applied Sciences
With the rapid advancement of unmanned aerial vehicle technology, the extensive application of multiple unmanned aerial vehicle systems in agriculture has led to significant innovations and benefits.
Zhao Zhou, Huan Liu, Yongqiang Dai, Lijing Qin   +3 more
doaj   +2 more sources