D2D assisted cooperative computational offloading strategy in edge cloud computing networks by Yanyan Wang, Dechuan Kong, Haojie Chai, Hongzhou Qiu, Ran Xue, Shuhang Li

“…Then, the stochastic optimization algorithm and the back-pressure algorithm are used to develop the offloading strategy, which ensures the stability of the system and reduces the computing cost to the greatest extent, so as to obtain the optimal offloading decision. …”
Get full text

Optimal control for quadrotors UAV based on deep neural network approximations of stable manifold of HJB equation by Yuhuan Yue

“…This paper proposes a deep learning algorithm for solving the infinite-horizon optimal feedback control problem of a quadrotor unmanned aerial vehicle (UAV). …”
Get full text

Computer Modelling «Smart Building» by O. Yu. Maryasin, A. S. Kolodkina, A. A. Ogarkov

“…In the article the authors present a computer model ”Smart building” which allows to model the work of main engineering subsystems and management algorithms. …”
Get full text

Wireless Power Transfer Optimization with a Minimalist Single-Capacitor Design for Battery Charging by Sabriansyah Rizqika Akbar, Wijaya Kurniawan, Achmad Basuki, Agung Setia Budi, Barlian Henryranu Prasetio

Get full text

Wasserstein Distributionally Robust Optimization for Chance Constrained Facility Location Under Uncertain Demand by Iman Seyedi, Antonio Candelieri, Enza Messina, Francesco Archetti

“…To overcome this limitation, the proposed approach integrates two methodologies, specifically a Genetic Algorithm to search for the optimal decision about facility opening, inventory, and allocation, and a constrained Jordan–Kinderlehrer–Otto (cJKO) scheme for dealing with robustness in the objective function and chance-constraint with respect to possible unknown fluctuations in demand. …”
Get full text

OPTIMIZING PROCESSOR WORKLOADS AND SYSTEM EFFICIENCY THROUGH GAME-THEORETIC MODELS IN DISTRIBUTED SYSTEMS by Merlan Telmanov, Zukhra Abdiakhmetova, Amandyk Kartbayev

“…Through this study, the paper not only improves our understanding of strategic interactions within computational systems but also provides key ideas that could guide the development of more efficient computational frameworks for various applications.…”
Get full text

Projection-Free Methods for Online Distributed Quantized Optimization With Strongly Pseudoconvex Cost Functions by Xiaoxi Yan, Yu Li, Muyuan Ma

“…To handle these problems, a quantized distributed online projection-free optimization algorithm is developed for the strongly pseudoconvex problem with an inequality constraint set. …”
Get full text

Applications of quantum computing in clinical care by Stevan C. Fairburn, Stevan C. Fairburn, Lara Jehi, Brenton T. Bicknell, Beckley G. Wilkes, Bharat Panuganti

“…QC-driven algorithms demonstrated potential to enhance diagnostic accuracy and computational efficiency. …”
Get full text

Quantum Algorithms’ Approach: A Case Study on Bladeless Wind Turbine and Solar Panel by Piyush Kumar Sinha, R. Marimuthu

“…These algorithms have proved to be computationally cheaper as a common meritorious aspect in almost all implementations. …”
Get full text

Many-objective Optimization Design of a 2PRU-PRUR Parallel Mechanism Without Parasitic Motion by Che Linxian, Peng Siyang, Huang Xin, He Bing, He Xiaohui, Ao Jin

“…To enhance the optimization performance of the algorithm for solving the problem, a vector-angle-based many-objective differential evolution (VaDE) algorithm was proposed, which can balance comprehensively the convergence and distribution of the individuals. …”
Get full text

High-Performance Deployment Operational Data Analytics of Pre-Trained Multi-Label Classification Architectures with Differential-Evolution-Based Hyperparameter Optimization (AutoDE... by Teo Prica, Aleš Zamuda

“…In this differential evolution (DE) optimization use case, we analyze how energy efficiently the DE algorithm performs with different DE strategies and ML models. …”
Get full text

AI-Driven Optimization of Multilayer Thin-Film Structures for Advanced Optical Applications by Emad Alkhazraji, Sani Mukhtar, Haitham Khaled, Jaime Viegas

“…Finally, we integrate the surrogate model with the Non-dominated Sorting Genetic Algorithm II (NSGA-II) multi-objective optimization algorithm to maximize both the transmission peak and its full width at half maximum (FWHM) for a desired wavelength band. …”
Get full text

Low Complexity Optimized AOR Method for Massive MIMO Signal Detection by Muhammad Nauman Irshad, Muhamamd Muzamil Aslam, Rardchawadee Silapunt

“…To determine these parameters systematically, we incorporate an innovative approach using the Nelder-Mead Simplex optimization algorithm. This heuristic optimization technique allows us to find the optimal acceleration and relaxation parameters, thereby achieving superior detection accuracy with faster convergence for challenging system configurations. …”
Get full text

Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements by Raghavendra M Devadas, Sowmya T

“…Quantum Machine Learning (QML) is the emerging confluence of quantum computing and artificial intelligence that promises to solve computational problems inaccessible to classical systems. …”
Get full text

Optimization Design of Lazy-Wave Dynamic Cable Configuration Based on Machine Learning by Xudong Zhao, Qingfen Ma, Jingru Li, Zhongye Wu, Hui Lu, Yang Xiong

“…To address this challenge, this study proposes a closed-loop optimization framework that couples machine learning with intelligent optimization algorithms for a dynamic cable configuration design. …”
Get full text

Big data-based optimized model of building design in the context of rural revitalization by Wang Lei

“…Therefore, the backbone multi-objective particle swarm optimization algorithm has better performance and is more suitable for optimizing building energy consumption.…”
Get full text

Priority-aware task offloading for LEO satellite edge computing network: a multi-agent deep reinforcement learning-based approach by Juan Chen, Jie Zhong, Zongling Wu, Di Tian, Yujie Chen

“…Existing task scheduling algorithms often fail to fully consider task deadlines and priority orders, leading to deficiencies in handling urgent tasks and optimizing overall computational efficiency. …”
Get full text

A Fast Satellite Selection Algorithm Based on NSWOA for Multi-Constellation LEO Satellite Dynamic Opportunistic Navigation by Chuanjin Dai, Yuqiang Chen, Bo Zang, Lin Li, Liang Zhang, Ke Wang, Meng Wu

“…These results demonstrate that the NSWOA-based satellite selection algorithm outperforms existing intelligent methods in both computational efficiency and optimization accuracy, making it well-suited for real-time, multi-constellation LEO dynamic opportunistic navigation.…”
Get full text

Real-time freshness prediction for Apples and Lettuces using imaging recognition and advanced algorithms in a user-friendly mobile application by Chrysanthos Maraveas, George Kalitsios, Marianna I. Kotzabasaki, Dimitrios V. Giannopoulos, Kosmas Dimitropoulos, Anna Vatsanidou

Get full text

Constrained search space selection based optimization approach for enhanced reduced order approximation of interconnected power system models by Bala Bhaskar Duddeti, Asim Kumar Naskar, V. P. Meena, Jitendra Bahadur, Ibrahim A. Hameed

Get full text