[HTML][HTML] Parameters optimization of solar PV cell/module using genetic algorithm based on non-uniform mutation

D Saadaoui, M Elyaqouti, K Assalaou… - Energy Conversion and …, 2021 - Elsevier
Extracting the optimum parameters of solar photovoltaic (PV) model using the experimental
data of current–voltage is very critical in simulating, controlling, and optimizing the PV …

Monarch butterfly optimization

GG Wang, S Deb, Z Cui - Neural computing and applications, 2019 - Springer
In nature, the eastern North American monarch population is known for its southward
migration during the late summer/autumn from the northern USA and southern Canada to …

Joint power and 3D trajectory optimization for UAV-enabled wireless powered communication networks with obstacles

H Pan, Y Liu, G Sun, J Fan, S Liang… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-enabled wireless powered communication networks
(WPCNs) are promising technologies in 5G/6G wireless communications, while there are …

Damage detection based on improved particle swarm optimization using vibration data

F Kang, J Li, Q Xu - Applied Soft Computing, 2012 - Elsevier
An immunity enhanced particle swarm optimization (IEPSO) algorithm, which combines
particle swarm optimization (PSO) with the artificial immune system, is proposed for damage …

Unified operation optimization model of integrated coal mine energy systems and its solutions based on autonomous intelligence

Y Wang, H Hu, X Sun, Y Zhang, D Gong - Applied Energy, 2022 - Elsevier
An integrated coal mine energy system involves the production, transmission, conversion,
storage, and consumption of multiple types of energy with complicated coupling …

Energy-aware virtual network embedding

S Su, Z Zhang, AX Liu, X Cheng… - … /ACM Transactions on …, 2014 - ieeexplore.ieee.org
Virtual network embedding, which means mapping virtual networks requested by users to a
shared substrate network maintained by an Internet service provider, is a key function that …

Solving distributed hybrid flowshop scheduling problems by a hybrid brain storm optimization algorithm

JH Hao, JQ Li, Y Du, MX Song, P Duan… - Ieee Access, 2019 - ieeexplore.ieee.org
With the trend of manufacturing globalization, distributed production has attracted wide
attention from the industry and academia. Nevertheless, there has been little research on the …

Simulated annealing algorithm with adaptive neighborhood

Z Xinchao - Applied Soft Computing, 2011 - Elsevier
As we know, simulated annealing algorithm with large neighborhoods has greater
probability of arriving at a global optimum than a small one has, if the other conditions, ie …

多子群的共生非均匀高斯变异樽海鞘群算法

陈忠云, 张达敏, 辛梓芸 - 自动化学报, 2022 - aas.net.cn
针对樽海鞘群算法求解精度不高和收敛速度慢等缺点, 提出一种多子群的共生非均匀高斯变异樽
海鞘群算法. 根据不同适应度值将樽海鞘链群分为三个子种群, 各个子种群分别进行领导者位置 …

Design of fuzzy expert system for microarray data classification using a novel genetic swarm algorithm

PG Kumar, TAA Victoire, P Renukadevi… - Expert Systems with …, 2012 - Elsevier
Knowledge gained through classification of microarray gene expression data is increasingly
important as they are useful for phenotype classification of diseases. Different from black box …