Synaptic plasticity-based regularizer for artificial neural networks by Qais Yousef, Pu Li

“…Due to the lack of constraints, it cannot guarantee that the model will work in a real environment with input data distribution changes. …”
Get full text

Chance‐constrained scheduling considering frequency support from electric vehicles under multiple uncertainties by Yifeng Liu, Wenyuan Zeng, Meng Chen, Zhongshi He, Yi Yuan, Tao Ding

“…These DR chance constraints are reformulated as tractable linear programs. …”
Get full text

Hosting Capacity Enhancement of Photovoltaic Sources, Using Voltage Controller Devices and Energy Storage Systems by seied javad samadi rikandeh, Poorya Maghouli

“…The proposed optimization problem is formulated as a Mixed-Integer Nonlinear Programming (MINLP) problem, and is solved using SBB solver under GAMS. …”
Get full text

NOMA-based secure computation offloading in marine Internet of things by JIANG Wei, YUAN Xiao, WANG Qian, QIAN Liping

“…To solve the proposed mixed-integer non-convex optimization problem, an algorithm combining deep deterministic policy gradient (DDPG) and cross-entropy was proposed. …”
Get full text

User-centric energy efficiency fairness in backscatter-assisted wireless powered communication network by Yinghui YE, Liqin SHI, Guangyue LU

“…In order to address the unfair user-centric energy efficiency (EE) problem caused by channel difference in the backscatter-assisted wireless powered communication network,a resource allocation scheme was proposed.Firstly,a mixed integer nonconvex fractional programming problem was formulated to maximize the minimum user-centric EE,subject to the quality of service and energy-causality constraints.Based on the generalized fractional programming theory,the original problem was transformed into a mixed integer nonconvex subtraction problem.With the aid of the slack variable,the proof by contradiction,the auxiliary variable and the mixed integer nonconvex subtraction problem were further transformed into an equivalent convex problem.Finally,an iterative algorithm was proposed to obtain the optimal solutions.Computer simulations validated the quick convergence of the proposed iterative algorithm,and that the developed resource allocation scheme efficiently guarantees the fairness among users in terms of EE.…”
Get full text

Robustness Maximization of Parallel Multichannel Systems by Jean-Yves Baudais, Fahad Syed Muhammad, Jean-François Hélard

“…Bit error rate (BER) minimization and SNR-gap maximization, two robustness optimization problems, are solved, under average power and bitrate constraints, according to the waterfilling policy. …”
Get full text

Group Stable Matching Problem in Freight Pooling Service of Vehicle–Cargo Matching Platform by Linlin Kong, Min Huang

“…Since this model is a mixed-integer linear programming model with relatively few decision variables but a large number of constraints, this paper introduces the cutting-plane algorithm. …”
Get full text

Fault-tolerant multi-agent formation control using distributed nonlinear MPC with discrete-time super-twisting sliding mode fault estimation by Farshid Aazam Manesh, Mahdi Pourgholi, Elham Amini Boroujeni, Farshad Aazam Manesh

“…Building on previous research, we incorporate contractive constraints and a Lyapunov function into the optimization framework, ensuring system stability. …”
Get full text

Train timetable and stopping plan generation based on cross-line passenger flow in high-speed railway network by Yuqiang Wang

“…In addition, we regard train disturbances in different directions as different train headways at cross-line stations to optimize train scheduling practically. Sequentially, a mixed-integer linear programing model with headway and coupling constraints is formulated. …”
Get full text

A frequency domain-based loop shaping procedure for the parameter estimation of the fractional-order tilt integral derivative controller by Biresh Kumar Dakua, Bibhuti Bhusan Pati

“…The optimization toolbox fmincon in MATLAB is utilized for the solution process of the above constraint minimization problem. …”
Get full text

Predictive dynamic multi-flow routing (PD-MFR) algorithm towards sixth generation (6G) software-defined networks by Buse Pehlivan, Volkan Rodoplu, Engincan Tunçay, Dilara Eraslan

“…First, we formulate a mixed integer optimization model that incorporates the key constraints for Ultra-Reliable Low Latency Communication (URLLC), enhanced Mobile Broadband (eMBB), and massive Machine-Type Communication (mMTC) traffic. …”
Get full text

Solution Algorithms for the Capacitated Location Tree Problem with Interconnections by Nidia Mendoza-Andrade, Efrain Ruiz-y-Ruiz, Suemi Rodriguez-Romo

“…This paper addresses the Capacitated Location Tree Problem with Interconnections, a new combinatorial optimization problem with applications in network design. …”
Get full text

Beyond Single-User Scheduling: Exploiting Massive MIMO for Concurrent Data Delivery With Minimum Age of Information by Muhammad Fahad Ijaz, Umar Rashid, Omer Waqar

“…We handle the non-convexity of the resulting problem by utilizing successive convex approximation to specifically reformulate the binary/integer and non-convex constraints of the problem. …”
Get full text

Arterial Multi-Path Green Wave Control Model Concurrently Considering Motor Vehicles and Electric Bicycles by Binbin Jing, Fan Yang

“…The presented model is formulated as a mixed integer linear programming problem. The optimization objective of the model is to maximize the sum of the green wave bandwidths for all coordinated paths of each traffic mode on all road segments. …”
Get full text

Graph Neural Network for In-Network Placement of Real-Time Metaverse Tasks in Next-Generation Networks by Sulaiman Muhammad Rashid, Ibrahim Aliyu, Il-Kwon Jeong, Tai-Won Um, Jinsul Kim

“…The task placement challenge is modeled as an integer linear programming (ILP) problem aimed at minimizing overall system costs while adhering to stringent delay constraints. …”
Get full text

Noise-Based Frequency Spectrum Correction Method Using Interior Point Approach by Guichun Yang, Shengyou Zhou, Han Chen, Huiyue Yang, Weixing Hua, Zhaojie Wu, Yan Chen

“…The correction problem is reformulated as an unconstrained optimization task. Following Welch spectral estimation, peak detection is performed using an adaptive threshold to identify the spectral peaks adjacent to the true peak, which serve as boundary constraints for the IP solution. …”
Get full text

A circular reverse logistics framework for handling e-commerce returns by Pamal R. Nanayakkara, Madushan Madhava Jayalath, Amila Thibbotuwawa, H. Niles Perera

“…As the second stage, a circular economy network was introduced among different parties to commit towards the circular economy. We develop a mixed integer linear programming model upon the above circular economy network in the third stage to capture different facets of the reverse logistics in e-commerce and optimize the network. …”
Get full text

Utility-driven virtual machine allocation in edge cloud environments using a partheno-genetic algorithm by Jie Cao, Cuicui Zhang, Ping Qi, Kekun Hu

“…Next, the framework dynamically reallocates virtual machines across sub-service centers, based on task arrival rates and varying QoS requirements, to optimize overall service utility. Finally, we develop a partheno-genetic algorithm based on integer coding to solve the service utility maximization (SOPGA) to determine the optimal virtual machine allocation strategy. …”
Get full text

Green and Reliable Freight Routing Problem in the Road-Rail Intermodal Transportation Network with Uncertain Parameters: A Fuzzy Goal Programming Approach by Yan Sun

“…In the case, sensitivity analysis is adopted to reveal the effects of uncertainty on the routing optimization. Fuzzy simulation is then performed to help decision makers to select the best crisp route plan by determining the best confidence level shown in the fuzzy chance constraints.…”
Get full text

An Extended Model for the UAVs-Assisted Multiperiodic Crowd Tracking Problem by Skander Htiouech, Khalil Chebil, Mahdi Khemakhem, Fidaa Abed, Monaji H. Alkiani

“…The MILP-MPCT was designed using linear programming technique to build two objective functions that minimize the total time and energy consumed by UAVs under a set of constraints related to the MPCT problem. In order to validate the MILP-MPCT, we simulated it using IBM-ILOG-CPLEX optimization framework. …”
Get full text