[HTML][HTML] Traffic violation detection in India using genetic algorithm

AT Bhat, MS Rao, DG Pai - Global Transitions Proceedings, 2021 - Elsevier
The paper speaks about traffic violation detection, which is the most happening topic where
the existed system is being automated, or we can say that machines do all the work which …

Multipath traveling purchaser problem with time-dependent market structure using quantum-inspired variable length genetic algorithm

S Maji, K Pradhan, S Maity, IE Nielsen, D Giri… - Computers & Industrial …, 2023 - Elsevier
In developing countries, rural and semi-urban markets remain open for a particular period of
time in a day, and items' availabilities and prices vary within the opening hours of a market …

A synthesis of pulse influenza vaccination policies using an efficient controlled elitism non-dominated sorting genetic algorithm (CENSGA)

AK Alkhamis, M Hosny - Electronics, 2022 - mdpi.com
Seasonal influenza (also known as flu) is responsible for considerable morbidity and
mortality across the globe. The three recognized pathogens that cause epidemics during the …

Hybrid variable-length spider monkey optimization with good-point set initialization for data clustering

AQ Obaid, M Alabbas - Informatica, 2023 - informatica.si
Data clustering refers to grouping data points that are similar in some way. This can be done
in accordance with their patterns or characteristics. It can be used for various purposes …

[HTML][HTML] Exploring the Impact of Pre-Mechanical Activation of Nickel Powder on the Structure of Deposited Metal: A Deep Neural Network Perspective

I Malashin, N Kobernik, A Pankratov, Y Andriyanov… - Metals, 2024 - mdpi.com
This study explores the potential application of the mechanical activation (MA) of nickel
powder for incorporation into the composition of powder wire blends for the deposition of …

Reinforcement learning for radar waveform optimization

M Coutino, F Uysal - 2023 IEEE Radar Conference …, 2023 - ieeexplore.ieee.org
Recently, it has been shown that reinforcement learning (RL) is able to solve decision-based
problems through a series of action-observation-reward cycles. In this paper, we pose the …

Cloudlet based computing optimization using variable-length whale optimization and differential evolution

L Muwafaq, NK Noordin, M Othman, A Ismail… - IEEE …, 2023 - ieeexplore.ieee.org
Cloudlet-based optimization involves deploying a set of cloudlets in an environment and
assigning user tasks to optimize various metrics, including energy consumption, quality of …

[PDF][PDF] 信息年龄约束下的无人机数据采集能耗优化路径规划算法

高思华, 刘宝煜, 惠康华, 徐伟峰, 李军辉, 赵炳阳 - 电子与信息学报, 2024 - jeit.ac.cn
信息年龄(AoI) 是评价无线传感器网络(WSN) 数据时效性的重要指标, 无人机辅助WSN
数据采集过程中采用优化飞行轨迹, 提升速度等运动策略保障卸载至基站的数据满足各节点AoI …

A genetic algorithm for scheduling laboratory rooms: a case study

R Fuenmayor, M Larrea, M Moncayo, E Moya… - … Conference on Applied …, 2022 - Springer
Genetic algorithms (GAs) are a great tool for solving optimization problems. Their
characteristics and different components based on the principles of biological evolution …

[PDF][PDF] Bridge the gap between fixed-length and variable-length evolutionary neural architecture search algorithms

Y Gong, Y Sun, D Peng, X Chen - Electronic Research Archive, 2024 - aimspress.com
Evolutionary neural architecture search (ENAS) aims to automate the architecture design of
deep neural networks (DNNs). In recent years, various ENAS algorithms have been …