Adaptively Receding Galerkin Optimal Control for a Nonlinear Boiler-Turbine Unit by Gang Zhao, Zhi-gang Su, Jun Zhan, Hongxia Zhu, Ming Zhao

“…Due to the application of the useful information measured at every sampling time instant, the proposed method can deal with the tracking problem with constraints rather than the stabilization problem that can be only done by the traditional Galerkin optimal control. …”
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Integrated Optimization of Pipe Routing and Clamp Layout for Aeroengine Using Improved MOALO by Qiang Liu, Zhi Tang, Huijuan Liu, Jiapeng Yu, Hui Ma, Yonghua Yang

“…In order to solve the problems of assembly constraints and design coupling between them, an integrated optimization method for pipe routing and clamp layout is proposed. …”
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Optimal relay selection for full duplex SWIPT-NOMA systems with maximal throughput by Taoshen LI, Anni SHI, Zhe WANG, Lu HE

“…To improve the performance of 5G communication system, a full duplex Internet of things (IoT) relay system model was built by introducing the non-orthogonal multi-access (NOMA) technology.For the relay system of simultaneous wireless information and power transfer (SWIPT), it was considered that the relay node can harvest the energy of the source node, the self-interference signal of the loop channel and the free energy access point (EAP), and NOMA technology was used to forward the source node signal and its own signal to different destination nodes.Based on the model, a power distribution collaboration SWIPT relay selection strategy was proposed to optimize system throughput.Firstly, the problem model was established based on the constraints of communication quality of service and transmission power of source nodes.And then, the original nonlinear 0-1 programming problem was converted into a pair of coupling optimization problem by mathematical transformation, and the optimal relay selection of outer optimization problem was solved based on the optimal solution of the internal optimization problem.Finally, an optimal relay selection algorithm was used to maximize system throughput.Simulation results show that the proposed model and strategy are superior to the traditional maximum-minimum relay selection schemes in terms of throughput gain, and the consideration of EAP can significantly improve the interrupt performance.…”
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Optimal relay selection for full duplex SWIPT-NOMA systems with maximal throughput by Taoshen LI, Anni SHI, Zhe WANG, Lu HE

“…To improve the performance of 5G communication system, a full duplex Internet of things (IoT) relay system model was built by introducing the non-orthogonal multi-access (NOMA) technology.For the relay system of simultaneous wireless information and power transfer (SWIPT), it was considered that the relay node can harvest the energy of the source node, the self-interference signal of the loop channel and the free energy access point (EAP), and NOMA technology was used to forward the source node signal and its own signal to different destination nodes.Based on the model, a power distribution collaboration SWIPT relay selection strategy was proposed to optimize system throughput.Firstly, the problem model was established based on the constraints of communication quality of service and transmission power of source nodes.And then, the original nonlinear 0-1 programming problem was converted into a pair of coupling optimization problem by mathematical transformation, and the optimal relay selection of outer optimization problem was solved based on the optimal solution of the internal optimization problem.Finally, an optimal relay selection algorithm was used to maximize system throughput.Simulation results show that the proposed model and strategy are superior to the traditional maximum-minimum relay selection schemes in terms of throughput gain, and the consideration of EAP can significantly improve the interrupt performance.…”
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Loosely Formation-Displaced Geostationary Orbit Optimization with Complex Hybrid Sail Propulsion by Yuan Liu, Yong Hao, Weiwei Liu

“…Then, the suboptimal trajectories are used as a first guess for a direct optimization algorithm based on Gauss pseudospectral algorithm, which loosens the relative distance constraints and allows the spacecraft to be placed anywhere inside the station-keeping box. …”
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A Probability Collectives Approach with a Feasibility-Based Rule for Constrained Optimization by Anand J. Kulkarni, K. Tai

“…This paper demonstrates an attempt to incorporate a simple and generic constraint handling technique to the Probability Collectives (PC) approach for solving constrained optimization problems. …”
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Research on Day Ahead Dynamic Reactive Power Optimization Based on Generator Operation by Bin LU, Shan GAO, Desheng LI

“…In order to solve the practical problem of 24-hours dynamic reactive power optimization in power system dispatching, this paper divided generator's operation into three regions in PQ mathematical model, according to the limit output range of generator's operation. …”
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Non-fragile control of switched systems with memory feedback based on convex optimization by Jiahui Zhou, Xinquan Zhang

“…If some scalars parameters are selected in advance, we present the non-fragile state feedback control law with memory and maximizing the estimated region of attraction by solving a convex optimization problem with LMI constraints. Furthermore, the numerical example is given to verify the effectiveness of the proposed method by comparing the state response or the size of estimation of domain of attraction under the action of the state feedback control law with memory and the memoryless controller.…”
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Data Aggregation and Scheduling to Optimize Information Freshness In Multi-Hop IoT Networks by Xueling Wu, Long Qu, Maurice J. Khabbaz

“…The original problem is decomposed into a Restricted Master Problem (RMP) and a Pricing Problem (PP). …”
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Parameter optimization of tuned mass damper for three-degree-of-freedom vibration systems by Nguyen Van Khang, Trieu Quoc Loc, Nguyen Anh Tuan

“…In this paper, the problem of parameters optimization of tuned mass damper for three-degree-of-freedom vibration systems is investigated using sequential quadratic programming method. …”
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Satellite Constellation Optimization for Emitter Geolocalization Missions Based on Angle of Arrival Techniques by Marcello Asciolla, Rodrigo Blázquez-García, Angela Cratere, Vittorio M. N. Passaro, Francesco Dell’Olio

“…This paper provides the theoretical framework to solve the optimization problem for the orbital deployment of the satellites minimizing the variance on the position error estimation with constraints on the line of sight (LOS). …”
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Longitudinal optimal analytical midcourse guidance for cruise-glide integrated hypersonic vehicles by Xin Li, Guangbin Cai, Hui Xu, Jianwen Zhu, Chaoxu Mu

“…For the longitudinal midcourse guidance problem of a cruise-glide integrated hypersonic vehicle (CGHV), an analytical method based on optimal control theory is proposed. …”
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Design of steel and concrete composite beams according to NBR8800:2008 using pygad genetic algorithm and python implementation by Paula Cristina de Lima Bastos, Francisco de Assis das Neves, Walliston dos Santos Fernandes

“…Between the serviceability limit states, vibration frequency checks were inserted into the optimization problem. Finally, following the optimization process, the designed and optimized elements will be checked for dynamic susceptibility through modal analysis. …”
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Low-carbon optimal scheduling for distribution networks under supply and demand uncertainty by Yu Nan, Zhi Li, Xin Gao, Xiaoshi Kou

“…The clear equivalent class method simplifies these constraints for easier problem-solving. Validation on the IEEE-30 node system shows the model reduces costs by 32.9% and carbon emissions by 19.2% compared to traditional scheduling, effectively lowering both costs and the carbon footprint. …”
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Optimal Control for Multistage Nonlinear Dynamic System of Microbial Bioconversion in Batch Culture by Lei Wang, Zhilong Xiu, Yuduo Zhang, Enmin Feng

“…Firstly, we transform the optimal control problem into the one with fixed terminal time. …”
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Coordinated Optimization Operation Strategy for Multi-Energy Center with Power-to-Gas Devices by Lei ZHANG, Guangyu QIN, Yaling LIU

“…The model linearizes the nonlinear constraints of the natural gas network power flow, and converts the bi-objective optimization problem into single-objective optimization by adding the weight coefficient. …”
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Comprehensive Task Optimization Architecture for Urban UAV-Based Intelligent Transportation System by Marco Rinaldi, Stefano Primatesta

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A novel metaheuristic optimizer GPSed via artificial intelligence for reliable economic dispatch by Mahmoud Ibrahim Mohamed, Ali M. Yousef, Ahmed A. Hafez

“…Abstract Recently, meta-heuristic optimization algorithms have enhanced resource efficiency, facilitated informed decision-making, and addressed complex problems involving multiple variables and constraints in engineering and science fields. …”
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Asteroids Exploration Trajectory Optimal Design with Differential Evolution Based on Mixed Coding by Maocai Wang, Zhiming Song, Guangming Dai, Lei Peng, Chang Zheng

“…The algorithm can make full use of the characteristics of the high efficiency and global optimization ability of differential evolution and can also avoid the problem of high complexity of the branch-and-bound algorithm and the problem of nonglobal optimal solution of the greedy algorithm. …”
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Multidisciplinary Design Optimization of Reentry-Powered Hypersonic Vehicles Based on Surrogate Model by Shoudong Ma, Yuxin Yang, Yesi Chen, Hua Yang, Weifang Chen

“…Two problems exist in the study of the trajectory optimization problem of powered hypersonic gliding vehicles (HGVs) due to insufficient consideration of the overall design constraints as well as the strong couplings among relevant disciplines: (1) the engine and thrust models are not compatible with the existing HGV; (2) configuration parameters of the HGV are not included as design variables during trajectory optimization (i.e., propulsion discipline is decoupled in the process of the HGV configuration design), thus failing to fully explore the effect of power to improve the performance of the HGV. …”
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