Research on Adaptive Suppression of LCL Converter Resonance Grid-Connected System by Junwei Li, Yafang Tang, Junke Li

“…Thus, this paper presents an adaptive resonance suppression method based on the RBF network optimized by particle swarm optimization. This method optimizes the initial parameters of the RBF network through particle swarm optimization, identifies the parameters of the PI controller by RBF neural network’s own identification capability, and updates the active damping coefficient based on constraints such as stability margin, thereby realizing the LCL-type inverter to maintain the system stability when the grid impedance changes. …”
Get full text

Cooperative Scheduling of Imaging Observation Tasks for High-Altitude Airships Based on Propagation Algorithm by He Chuan, Qiu Dishan, Liu Jin

“…A constraint programming model is established by analyzing the main constraints, which takes the maximum task benefit and the minimum cruising distance as two optimization objectives. …”
Get full text

Decentralizing Coordination in Open Vehicle Fleets for Scalable and Dynamic Task Allocation by Marin Lujak, Stefano Giordani, Andrea Omicini, Sascha Ossowski

“…Moreover, we propose mathematical models for dynamic versions of the following assignment problems well known in combinatorial optimization: the assignment problem, bottleneck assignment problem, fair matching problem, dynamic minimum deviation assignment problem, Σk-assignment problem, the semiassignment problem, the assignment problem with side constraints, and the assignment problem while recognizing agent qualification; all while considering the main aspect of open vehicle fleets: random arrival of tasks and vehicles (agents) that may become available after assisting previous tasks or by participating in the fleet at times based on individual interest.…”
Get full text

Capacity Maximization Using Nash Bargaining in Indoor Optical Multiuser Interference-Limited Poisson Channel by Sudhanshu Arya, Yeon Ho Chung

“…In this paper, we consider coordination among multiple users to maximize the capacity in a multiple-input single-output (MISO) interference-limited discrete-time Poisson channel from a game-theoretic perspective. With power constraints imposed, the resource allocation problem can be interpreted as a downlink beamforming game. …”
Get full text

A Unified Collision Avoidance Trajectory Planning with Dual Variables for Collaborative Aerial Transportation Systems by Yi Chai, Xiao Liang, Jianda Han

“…Then, the trajectory planning problem is formulated as an optimization problem with considerations of dynamics, actuation, safety, and formation constraints. …”
Get full text

Agent Selection Framework for Federated Learning in Resource-Constrained Wireless Networks by Maria Raftopoulou, Jose Mairton B. da Silva, Remco Litjens, H. Vincent Poor, Piet van Mieghem

“…Leveraging this importance metric, we formulate a general agent selection optimization problem, which can be adapted to different environments with latency or resource-oriented constraints. …”
Get full text

A parallel multi-objective genetic algorithm for scheduling scientific workflows in cloud computing by Muhammad Sardaraz, Muhammad Tahir

“…Scheduling of scientific workflows in a cloud environment is a challenge for researchers. The problem is considered as NP-hard. Some constraints such as a heterogeneous environment, dependencies between tasks, quality of service and user deadlines make it difficult for the scheduler to fully utilize available resources. …”
Get full text

Generalized Performance of LSTM in Time-Series Forecasting by Ryan Prater, Thomas Hanne, Rolf Dornberger

“…Optimizing the time-series forecasting performance is a multi-objective problem which enables the comparison of general applicability of methods across multiple use cases such as finance and demographics. …”
Get full text

Probabilistic Operation of the Microgrids Including Active Loads and Distributed Generation Constrained to Flexibility and Reliability Indices by Hosein Hasan Shahi, Mehdi Nafar, Mohsen Simab

“…The objective function of the problem is subject to several constraints including AC optimal power flow equations, flexibility and reliability boundaries, and model of power sources and active loads. …”
Get full text

Topology-adapting routing strategy for global navigation satellite system by Yue Zhao, Xianqing Yi, Zhenwei Hou

“…Then, we build the constraint programming model of the global navigation satellite system routing problem. …”
Get full text

Decentralized Robust Saturated Control of Power Systems Using Reachable Sets by Hisham M. Soliman, Hassan A. Yousef, Rashid Al-Abri, Khaled A. El-Metwally

“…A new approach to solve this problem is proposed in the present paper. The approach is based on the method of invariant ellipsoids, and the tool of linear matrix inequalities (LMI) is utilized to solve the resulting optimization problem. …”
Get full text

Minimization of Outage Probability using Joint Channel and Power Assignment in Dual and Multi Hop Cognitive Radio Ad Hoc Networks by Majid Shakeri, Nahid Ardalani, Pouya Derakhshan

“…This problem was solved using the standard technique of solving convex optimization problem and weighted bipartite matching. …”
Get full text

Data-driven ship trajectory tracking control method by Yong XIONG, Siwen ZHOU, XianFei WANG, Zhiyuan LYU

“…ObjectiveAiming at the problems of unknown ship model parameters and external disturbance and servo constraints, this paper proposes a method for the data-driven online identification of ship parameters and iterative analytical calculation of the optimal control quantity of track tracking control. …”
Get full text

High-Resolution and Robust One-Bit Direct-of-Arrival Estimation via Reweighted Atomic Norm Estimation by Rui Li, Jianchao Yang, Zheng Dai, Xingyu Lu, Ke Tan, Weimin Su

“…This paper aims to improve the resolution constraints of one-bit DOA estimation. The log-det heuristic is applied to approximate and solve the atomic norm minimization problem. …”
Get full text

Resource allocation strategies for improved mayfly algorithm in cognitive heterogeneous cellular network by Damin ZHANG, Yi WANG, Chengcheng ZOU, Peiwen ZHAO, Linna ZHANG

“…Aiming at the optimization of uplink resource allocation in cognitive heterogeneous cellular networks, a resource allocation algorithm based on improved discrete mayfly algorithm was proposed.In the cognitive heterogeneous cellular network model, the power control strategy was introduced to control the interference suppression of transmitted power, and the improved discrete mayfly algorithm was used to optimize and solve the optimal distribution scheme based on the user’s quality of service (QoS) requirements and interference threshold constraints to maximize the energy efficiency (EE).In order to improve the convergence rate and search ability of the mayfly algorithm, the dynamic adaptive weights of incomplete Gamma and Beta distribution functions and the golden sine position updating strategy were introduced.The simulation results show that the closed-loop power control based on SINR can dynamically adjust the transmitting power of users and effectively restrain the interference between users.The GSWBMA has good optimization efficiency and convergence performance to solve the resource allocation problem, effectively improve the energy efficiency of the system and the transmission rate of users, and ensure the QoS requirements of users.…”
Get full text

Secure performance analysis and detection of pilot attack in massive multiple-input multiple-output system by Xianyu Zhang, Daoxing Guo, Kefeng Guo, Hehao Niu

“…This optimization problem is efficiently solved by fractional programming. …”
Get full text

AI-based online VoI-aware healthcare and medical monitoring task computing by Akbar Asgharzadeh-Bonab, Jalil Mazloum, Ali Nouruzi

“…Our goal is to maximize the total data rate of the healthcare system. We formulate an optimization problem that includes constraints to ensure the minimum value of information (VoI), minimum data rate, and computational capacity. …”
Get full text

Enhancing Secure Energy Efficiency of SWIPT IoT Network Considering IRS and Artificial-Noise: A Deep Learning Approach by Kimchheang Chhea, Jung-Ryun Lee

“…We first formulate a joint optimization model of IRS and AN aided secure communication, which is a non-convex optimization problem with linear and non-linear constraints. …”
Get full text

An intelligent comprehensive scoring approach based on improved differential evolution algorithm by WANG Rongsheng, WANG Xiaogang, LONG Yixuan, LYU Yisheng, YUAN Zhiming

“…As a result, the comprehensive evaluation problem was transformed into an unconstrained optimization problem to improve efficiency. …”
Get full text

An intelligent comprehensive scoring approach based on improved differential evolution algorithm by WANG Rongsheng, WANG Xiaogang, LONG Yixuan, LYU Yisheng, YUAN Zhiming

“…As a result, the comprehensive evaluation problem was transformed into an unconstrained optimization problem to improve efficiency. …”
Get full text