A local opposition-learning golden-sine grey wolf optimization algorithm for feature selection in data classification

Z Li - Applied Soft Computing, 2023 - Elsevier
The classification problem is an important research topic in machine learning and data
mining. Feature selection can remove irrelevant and redundant features and improve …

An intelligent hybrid approach for photovoltaic power forecasting using enhanced chaos game optimization algorithm and Locality sensitive hashing based Informer …

T Peng, Y Fu, Y Wang, J Xiong, L Suo, MS Nazir… - Journal of Building …, 2023 - Elsevier
Highly accurate photovoltaic power forecasting is of great significance for increasing
photovoltaic (PV) power generation on urban building rooftops. In this research context, a …

Damping-assisted evolutionary swarm intelligence for industrial iot task scheduling in cloud computing

AG Gad, EH Houssein, MC Zhou… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Advancements in the Industrial Internet of Things (IIoT) have yielded massive volumes of
data, taxing the capabilities of cloud computing infrastructure. Allocating limited computing …

改进多目标蜂群算法优化洗出运动及仿真实验

王辉, 彭乐 - 系统仿真学报, 2024 - china-simulation.com
针对经典洗出算法参数选择不当导致信号缺失, 引起失真, 影响洗出效果等问题,
提出一种改进的多目标人工蜂群算法, 利用该算法对经典洗出算法中的滤波器参数进行优化来 …

[PDF][PDF] Improving Task Scheduling in Cloud Computing Based on Meta-heuristic Optimization Algorithms

AGAA Gad - 2023 - researchgate.net
The Cloud Computing Paradigm (CCP) has radically altered the computing sector by
relieving users/consumers of the burden of operating their own, sometimes costly …

Improved Multi-objective Swarm Algorithm to Optimize Wash-out Motion and its Simulation Experiment

H Wang, L Peng - Journal of System Simulation, 2024 - dc-china-simulation …
Addressing the issues such as signal loss, distraction, and bad wash-out effect caused by
improper parameter selection in classic wash-out algorithms, an improved multi-objective …