A Cooperative Planning Method for Multi-Type Charging Pile Station Based on Vehicle-Road-Network Coupling by XU Tingting, LONG Yi, HU Xiaorui, LI Shun, QIN Tianxi, ZHANG Qian

“…The planning problem is then reformulated as a mixed-integer second-order cone programming （MISOCP） problem via scenario transformation and the second-order cone relaxation techniques and solved using the Gurobi optimizer.…”
Get full text

Genetic Algorithm-Driven Joint Optimization of Task Offloading and Resource Allocation for Fairness-Aware Latency Minimization in Mobile Edge Computing by Mohamed Elkawkagy, Ibrahim A. Elgendy, Samia Allaoua Chelloug, Heba Elbeh

“…Mobile Edge Computing (MEC) alleviates latency and bandwidth strain on centralized cloud infrastructures by enabling the offloading of tasks to proximal edge servers, yet resource optimization in dense dynamic networks remains an open problem. …”
Get full text

Optimal configuration strategy of energy storage considering flexible response of high energy-consuming industrial and mining loads in independent microgrid by Cuomu Yixi, Xiaoming Liu, Yu Li, Jingming Tan, Zhihong Liu, Basang Danzeng, Lei Wang

“…The model is then linearized into a mixed-integer programming problem. Finally, through case study simulations of an actual microgrid in Southwest China, the feasibility and effectiveness of the proposed ES optimization strategy are verified. …”
Get full text

Trajectory design and bandwidth allocation strategy in UAV-assisted MEC network by Xue JIANG, Liang ZHAO

“…The unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) network, where the UAV can be used as a mobile base station to collect data from the multiple user devices was studied.Since it should satisfy the UAV velocity constraint, the system computation latency constraint, and the system communication latency constraint, a joint scheme of bandwidth allocation and UAV 3D trajectory was proposed to minimize the total energy consumption of the network.The corresponding non-convex optimization problem that is difficult to solve was converted into two sub-optimization problems, which are the UAV 3D trajectory optimization subproblem by fixing bandwidth allocation, and the user equipment bandwidth allocation subproblem by fixing UAV 3D trajectory.Experiments demonstrate that the energy consumption of the proposed algorithm is less than that of the other two typical algorithms.Furthermore, the theoretical basis for solving the limited resource and energy problem in UAV-assisted MEC network was provided.…”
Get full text

High-efficiency Axial Flow Fan Design by Combining Through-flow Modeling, Optimization Algorithm and Computational Fluid Dynamics Simulation by C. Lee, S. W. Kim, H. T. Byun, S. H. Yang

“…An optimization problem maximizing fan efficiency is defined and several design constraints are also set. …”
Get full text

Optimizing Intermodal Port–Inland Hub Systems in Spain: A Capacitated Multiple-Allocation Model for Strategic and Sustainable Freight Planning by José Moyano Retamero, Alberto Camarero Orive

“…This paper presents an enhanced hub location model tailored to port–hinterland logistics planning, grounded in the Capacitated Multiple-Allocation Hub Location Problem (CMAHLP). The formulation incorporates nonlinear cost structures, hub-specific operating costs, adaptive capacity constraints, and a feasibility condition based on the Social Net Present Value (NPVsocial) to support the design of intermodal freight networks under asymmetric spatial and socio-environmental conditions. …”
Get full text

User-Centric Federated Learning: Trading off Wireless Resources for Personalization by Mohamad Mestoukirdi, Matteo Zecchin, David Gesbert, Qianrui Li

Get full text

Optimal Battery Sizing in Photovoltaic Based Distributed Generation Using Enhanced Opposition-Based Firefly Algorithm for Voltage Rise Mitigation by Ling Ai Wong, Hussain Shareef, Azah Mohamed, Ahmad Asrul Ibrahim

“…This paper presents the application of enhanced opposition-based firefly algorithm in obtaining the optimal battery energy storage systems (BESS) sizing in photovoltaic generation integrated radial distribution network in order to mitigate the voltage rise problem. …”
Get full text

Bias-Reduced Localization for Drone Swarm Based on Sensor Selection by Bo Wu, Bazhong Shen, Yonggan Zhang, Li Yang, Zhiguo Wang

“…To address the problem of accurate localization of high-speed drone swarm intrusions, this paper adopts time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements, aiming to improve the performance of estimating the motion state of drone swarms. …”
Get full text

Safety-involved co-optimization of speed trajectory and energy management for fuel cell-battery electric vehicle in car-following scenarios by Longlong Zhu, Fazhan Tao, Zhumu Fu, Mengyang Li, Guoqu Deng

“…Abstract Vehicle connectivity technologies has propelled integrated optimization of vehicle’s motion and power splitting becoming a hotspot in eco-driving control research. …”
Get full text

multi-objective mathematical model for optimizing the collection and recycling of urban waste under conditions of uncertainty(The subject of study : Karaj city) by Mohsen Bijanpoor, Reza Ehtesham Rasi, Davood Gharakhany

“…Due to the uncertainty in the parameters of the problem, the two-stage stochastic programming method has been used to model the problem. …”
Get full text

Effective Formalization of Design Processes as a Key Factor in Achieving Optimal Solutions When Creating the Final Stages of Steam Turbines by Anatolii O. Tarelin, Iryna Ye. Annopolska

First-Arrival Constrained Physics-Informed Recurrent Neural Networks for Initial Model-Insensitive Full Waveform Inversion in Vertical Seismic Profiling by Cai Lu, Jijun Liu, Liyuan Qu, Jianbo Gao, Hanpeng Cai, Jiandong Liang

“…FWI is a nonlinear optimization problem; significant discrepancies between the initial and true velocity models can lead to solutions converging to local optima. …”
Get full text

Leveraging 3GPP Features and Optimization Techniques for 5G NR-V2X Resource Allocation: A Survey by Chaeriah Bin Ali Wael, El Hadj Dogheche, Nasrullah Armi, Agus Subekti, Iyad Dayoub

“…Specifically, we present the benefits and challenges of each 3GPP feature and optimization technique, and their application to communication and computing resource allocation problems. …”
Get full text

A hierarchical time-varying optimization algorithm for Photovoltaic-energy storage to suppress three-phase imbalances in active distribution networks by Xingxu Zhu, Jiyu Wang, Haozheng Yu, Jie Ma, Junhui Li, Cuiping Li

“…First, an evaluation index of three-phase voltage unbalance is established, and a time-varying optimization model of the distribution network that includes three-phase unbalance constraints is developed by taking into account the regulation of photovoltaic (PV) and energy storage systems; second, a time-varying optimization method for distribution networks based on voltage measurement feedback is designed, in this method, the sensitivity of PV and energy storage regulation to mitigate three-phase imbalance is calculated based on voltage measurements, the sensitivity related to the three-phase imbalance is decoupled at the boundaries of different zones within the distribution network, this sensitivity can be obtained by combining voltage measurement feedback from within the zones and information exchange between zones; finally, the results are iteratively refined using the distribution network information obtained through measurements, this iterative process achieves a time-varying optimization tracking effect that suppresses three-phase imbalance. …”
Get full text

Optimizing transcranial focused ultrasound parameters: A methodological advancement in non-invasive brain stimulation for next-gen clinical applications by Sachin Gupta, Mustafa Mudhafar, Yogini Dilip Borole, V. Mahalakshmi, Janjhyam Venkata Naga Ramesh, Muhammad Attique Khan

“…Artificial intelligence-driven real-time optimization frameworks like the Integrating Advanced Computational Modeling (IACM) framework are needed to overcome these constraints.…”
Get full text

Multilevel Constrained Bandits: A Hierarchical Upper Confidence Bound Approach with Safety Guarantees by Ali Baheri

“…The algorithm uses confidence bounds within a hierarchical setting to balance exploration and exploitation while respecting constraints at all levels. Our theoretical analysis establishes that HC-UCB achieves sublinear regret, guarantees constraint satisfaction at all hierarchical levels, and is near-optimal in terms of achievable performance. …”
Get full text

A traffic-awareness dynamic resource allocation scheme based on multi-objective optimization in multi-beam mobile satellite communication systems by YuanZhi He, YiZhen Jia, XuDong Zhong

“…This algorithm is proved to be optimal in terms of the Pareto-front under constraints of co-channel interference and onboard transmit power. …”
Get full text

Rescheduling of Multi-Scenario and Multi-Objective Dynamic Changes of Ship Group Construction by ZHANG Aoyuan, HU Xiaofeng, ZHANG Yahui

Get full text

Real-Time Optimal Control Strategy for Multienergy Complementary Microgrid System Based on Double-Layer Nondominated Sorting Genetic Algorithm by Min Mou, Yuhao Zhou, Wenguang Zheng, Zhongping Zhang, Da Lin, Dongdong Ke

“…Because of the problems of low operation efficiency and poor energy management of multienergy input and output system with complex load demand and energy supply, this paper uses the double-layer nondominated sorting genetic algorithm to optimize the multienergy complementary microgrid system in real-time, allocating reasonably the output of each energy supply end and reducing the energy consumption of the system on the premise of meeting the demand of cooling, thermal and power load, so as to improve the economy of the whole system. …”
Get full text