Results 51 to 60 of about 199 (121)

Integrated berth allocation and quay crane assignment and scheduling problem under the influence of various factors

IET Collaborative Intelligent Manufacturing, Volume 6, Issue 4, December 2024.
In this work, the authors study the integrated berth allocation and quay crane assignment and scheduling problem under the influence of various factors, including vessel arrival time uncertainty, tide, berth deviation, and interference between cranes. To solve the problem, the authors develop a multi‐factor robust scheduling model and design a genetic ...
Meng Yu, Xuetao Liu, Xiaojing Ji, Yucong Ren, Wenjing Guo   +4 more
wiley   +1 more source

Advancements in Q‐learning meta‐heuristic optimization algorithms: A survey

WIREs Data Mining and Knowledge Discovery, Volume 14, Issue 6, November/December 2024.
Future research directions include exploring diverse meta—heuristic integrations, investigating transfer learning strategies, and advancing techniques for state space reduction. Abstract This paper reviews the integration of Q‐learning with meta‐heuristic algorithms (QLMA) over the last 20 years, highlighting its success in solving complex optimization
Yang Yang, Yuchao Gao, Zhe Ding, Jinran Wu, Shaotong Zhang, Feifei Han, Xuelan Qiu, Shangce Gao, You‐Gan Wang   +8 more
wiley   +1 more source

MAOOA‐Residual‐Attention‐BiConvLSTM: An Automated Deep Learning Framework for Global TEC Map Prediction

Space Weather, Volume 22, Issue 7, July 2024.
Abstract The high‐precision prediction of total ionospheric electron content (TEC) is of great significance for improving the accuracy of global navigation satellite systems. There are two problems with the current prediction of TEC: (a) The existing TEC prediction models mainly based on stacked structure, which has insufficient predictive ability when
Haoran Wang, Haijun Liu, Jing Yuan, Huijun Le, Weifeng Shan, Liangchao Li   +5 more
wiley   +1 more source

Multi-Step Wind Speed Forecasting Based On Ensemble Empirical Mode Decomposition, Long Short Term Memory Network and Error Correction Strategy

Energies, 2019
It is of great significance for wind power plant to construct an accurate multi-step wind speed prediction model, especially considering its operations and grid integration.
Yuansheng Huang, Lei Yang, Shijian Liu, Guangli Wang   +3 more
doaj   +1 more source

Toward Collaborative Multitarget Search and Navigation with Attention‐Enhanced Local Observation

Advanced Intelligent Systems, Volume 6, Issue 6, June 2024.
Addressing the challenges of collaborative multitarget search and navigation in complex 3D environments, this article presents the POsthumous Mix‐credit assignment with Attention (POMA) framework. POMA innovatively combines adaptive learning and mixed credit assignment, integrating an attention mechanism for scalable local observation management ...
Jiaping Xiao, Phumrapee Pisutsin, Mir Feroskhan   +2 more
wiley   +1 more source

An Enhanced Brain Storm Sine Cosine Algorithm for Global Optimization Problems

IEEE Access, 2019
The conventional sine cosine algorithm (SCA) does not appropriately balance exploration and exploitation, causing premature convergence, especially for complex optimization problems, such as the complex shifted or shifted rotated problems.
Chunquan Li, Zu Luo, Zhenshou Song, Feng Yang, Jinghui Fan, Peter X. Liu   +5 more
doaj   +1 more source

Hybrid Improved Brain Storm Optimization with Support Vector Machine for Cardiovascular Diseases Classification

Tsinghua Science and Technology
Most existing classification algorithms for cardiovascular disease are limited to specific diseases and cannot categorize the severity of the diseases. These algorithms still need to be improved in terms of accuracy and generalizability.
Yifei Sun, Wenya Shi, Shi Cheng, Kashif Talpur, Yuhui Shi   +4 more
doaj   +1 more source

Publication Only

HemaSphere, Volume 10, Issue S1, June 2026.
wiley   +1 more source

Poster Sessions

HemaSphere, Volume 9, Issue S1, June 2025.
wiley   +1 more source

High-Gain Observer-Based Backstepping Control for Real-Time Trajectory Tracking of a Twin Rotor MIMO System: Adaptive Tuning Functions Versus Metaheuristic Gain Optimization

Actuators
This paper addresses the real-time trajectory tracking problem for the Twin Rotor MIMO System (TRMS), a nonlinear, strongly coupled, open-loop unstable aerodynamic laboratory benchmark whose six-dimensional state space is only partially observable ...
Abderrahmane Kacimi, Mohamed Mostefaoui, Azeddine Beloufa, Souaad Tahraoui, Abdelbasset Azzouz, Jun-Jiat Tiang, Mehdi Houari Zaid   +6 more
doaj   +1 more source