A selection hyper-heuristic algorithm with Q-learning mechanism

F Zhao, Y Liu, N Zhu, T Xu - Applied Soft Computing, 2023 - Elsevier
The selection of an algorithm in the real world of the application domain is a challenging
problem as no specific algorithm exists capable of solving all issues to a satisfactory …

[HTML][HTML] Estimating reference crop evapotranspiration using optimized empirical methods with a novel improved Grey Wolf Algorithm in four climatic regions of China

J Dong, L Xing, N Cui, L Guo, C Liang, L Zhao… - Agricultural Water …, 2024 - Elsevier
Accurate estimation of reference crop evapotranspiration (ETo) is crucial for agricultural
water management. As the simplified alternatives of the Penman-Monteith equation …

Optimizing workload distribution in Fog-Cloud ecosystem: A JAYA based meta-heuristic for energy-efficient applications

S Singh, EE Sham, DP Vidyarthi - Applied Soft Computing, 2024 - Elsevier
Fog-integrated Cloud has emerged as a novel computing paradigm that brings Cloud
computing services to the network's edge in real-time, though with limited capabilities …

An Intelligent Clustering Scheme Based on Whale Optimization Algorithm in Flying Ad Hoc Networks

M Hosseinzadeh, J Tanveer, F Alanazi… - Vehicular …, 2024 - Elsevier
Due to the progress of unmanned aerial vehicles (UAVs), this new technology is widely
applied in military and civilian areas. Multi-UAV networks are often known as flying ad hoc …

Multi-scale collaborative prediction of optimal configuration for carbon fiber woven composites based on deep learning neural networks

Z Wang, C Zhao, Z Yang, K Wang, G Dong… - Composite …, 2024 - Elsevier
Since carbon fiber woven composite panels contain complex fiber bundle structures, the aim
of this paper is to investigate the factors influencing the macro-equivalent properties and …

Multi-strategy enhanced Grey Wolf Optimizer for global optimization and real world problems

Z Wang, D Dai, Z Zeng, D He, S Chan - Cluster Computing, 2024 - Springer
Abstract The Grey Wolf Optimizer (GWO) is one of the more successful swarm-based
intelligent algorithms in recent years, but the shortcomings of the Grey Wolf Optimizer are …

Testing and Evaluation of Evolutionary Computing

X Zhang, X Zhang, W Wang - Intelligent Information Processing with …, 2023 - Springer
Evolutionary computing is a collection of evolutionary algorithms. Different algorithms have
different properties. For example, genetic algorithm is suitable for discrete optimization …

Multi-task and multi-stage commodity sorting algorithm for distributed e-commerce logistics system

L Gao, H Yang, K Gu - Available at SSRN 4793886, 2024 - papers.ssrn.com
With the increasing scale of e-commerce and logistics, factors such as the types, quantities,
and volumes of goods sorted in logistics have made the sorting process more difficult. A …

A Fault-tolerant technique for future Social IoV using Evolutionary computation based Whale Optimization Model

S Sahoo, SP Sahoo, RC Barik… - 2023 OITS International …, 2023 - ieeexplore.ieee.org
This paper addresses the crucial fault control challenges for the regulation of system-level
reliability in 5G enabled SDN-controlled Social Internet of Vehicles (SDSIoV) environment …

[图书][B] Intelligent Information Processing with Matlab

X Zhang, X Zhang, W Wang - 2023 - Springer
The speed of modern science and technology development is becoming faster and faster.
The amount of new science and technology knowledge and information is rapidly …