A Decision Support System for University Course Timetabling: Persian Gulf University Case Study by Khodakaram Salimifard, Salman Babaeezadeh

“…Because of a vast number of constraints and the complexity of relationship among the constraints, the problem is known to be of hard class. …”
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Modified Model Predictive Control for Coordinated Signals along an Arterial under Relaxing Assumptions by Kun Zhang, Hongfeng Xu, Baofeng Pan, Qiming Zheng, Hongjin Chen

“…Constraints are added and modified in order to incorporate the typical relaxed assumptions in the optimization process. …”
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A novel economic load dispatch method of microgrid based on hybrid slime mould and genetic algorithm by Wei Ba, Wei Sun, Chunjiang Zhao, Qi Li

“…Abstract The economic load dispatch problem of microgrid strives to optimize the allocation of total power demand among generating units under specific constraints. …”
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Secure communication approach for Internet of things based on C-RAN fronthaul compression by Yong WANG, Mu ZHOU, Zengshan TIAN, Jinjun WU

“…A resource allocation algorithm was proposed for downlink C-RAN secure communication system.This algorithm jointly optimized the parameters of base station (BS) mode,quantized noise and beamforming under the constraints of SINR requirements of Internet of things information receiver,eavesdropped receiver and fronthaul link capacity.Such a design was a non-convex optimization problem,and a step-by step optimization algorithm was proposed to decompose the original optimization problem efficiently.Semi-definite technique and function smoothing approach were adopted,and the local optimization solution of the original problem was obtained by the iterative different of convex method.Bi-section approach was further proposed to determine BS mode,and the transmitting power of the BSs were finally optimized.Simulation results indicate that the proposed joint optimization algorithm achieves better performance than group sparse optimization algorithm and baseline algorithm,and it has approximate optimal performance as the exhaustive search algorithm.…”
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Geometric Mean Rate Maximization in RIS-Aided mmWave ISAC Systems Relying on a Non-Diagonal Phase Shift Matrix by Jitendra Singh, Aditya K. Jagannatham, Lajos Hanzo

“…Furthermore, to tackle the UM constraints in the sub-problem of the HTPC design, we propose a penalty-based Riemannian manifold optimization (PRMO) algorithm, which optimizes the HTPCs on the Riemannian manifold. …”
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Probabilistic Approach to Reliability-Based Optimum Structural Design by A. Brandt, S. Jendo, W. Marks

“…A programming method is proposed with random constraints to reduce the probabilistic optimization problem to a deterministic one. …”
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Mathematical crystal chemistry II: Random search for ionic crystals and analysis on oxide crystals registered in ICSD by Ryotaro Koshoji

“…Mathematical crystal chemistry views crystal structures as the optimal solutions of the mathematical optimization problem formalizing inorganic structural chemistry. …”
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Waveform Design using Second Order Cone Programming in Radar Systems by M. Bagher Alaie, Seyed Ahmad Olamaei

“…Then, we use Majorization-Minimization to deal with constraints and convert the obtained problem to aconvex optimization problem. …”
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Power allocation algorithm for cognitive radio energy harvesting networks based on energy cooperation by Zhen-wei XIE, Qi ZHU

“…An algorithm to optimize the power allocation by maximizing the system throughput in cognitive radio energy harvesting networks was proposed.The algorithm formulated the throughput optimization model subject to the causality constraints of the harvested energy within the two secondary users and the interference constraint of the primary user.In addition,by applying the variable-substitution method and problem equivalence transformation,the joint optimization problem of power and cooperative energy was decoupled into two problems:a power allocation problem and a cooperative energy one.The former problem could be solved by iterating the two decoupled problems.As shown in the simulation results,the energy cooperation can significantly improve the system throughput when the harvested energy difference between two nodes is rather large.…”
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Beamforming design for energy-constrained full-duplex two-way relaying system by Wei WANG, Liyuan AN, Guoan ZHANG, Shibing ZHANG

“…A beamforming design was proposed under simultaneous wireless information and power transfer (SWIPT) protocol.A utility optimization problem was considered aiming to maximize the harvested energy by jointly optimizing the beamforming matrix,the power splitting ratio at the relay and the transmit powers at the sources.Since the formulated joint optimization problem was nonconvex,it was difficult or even intractable to obtain the global optimal solution.To overcome this issue,the objective problem into three subproblems was decoupled which could be solved by the proposed semidefinite relaxation technique and the derived constraints activation solution,respectively.The solution was finally obtained with the proposed convergent iterative algorithm.Simulation results show that the proposed joint optimization scheme achieves the optimal performance.Compared with the traditional half-duplex (HD) algorithm,the proposed algorithm can obtain 2~3 times energy harvesting (EH) efficiency improvement,while the computational complexity increases slightly.…”
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A node deployment algorithm for maximizing network lifetime in delay-constrained duty-cycled wireless sensor networks by Thi-Nga Dao, Seokhoon Yoon

“…An optimization problem is first formulated where the objective function and constraints are estimated based on node distribution in the area and the network parameters. …”
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Resource allocation of distributed MIMO radar based on the hybrid action space reinforcement learning by Jin Zhu, Wenxu Liu, Feifei Lyu, Siwei Li, Tianyang Zhang

“…Subsequently, the radar resource allocation problem is modeled as a constrained optimization problem with continuous and discrete variables, and a hybrid action space reinforcement learning is proposed to solve the above optimization problem. …”
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Robust Assignment of Natural Frequencies and Antiresonances in Vibrating Systems through Dynamic Structural Modification by Roberto Caracciolo, Dario Richiedei, Iacopo Tamellin

“…Dynamic structural modification is exploited to assign the eigenvalues, either of the system or of the adjoint system, together with their sensitivity with respect to some parameters of interest. To handle with constraints on the feasible modifications, the inverse eigenvalue problem is cast as a minimization problem and a solution method is proposed through homotopy optimization. …”
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Two-stage spline-approximation in linear structure routing by D. A. Karpov, V. I. Struchenkov

“…This makes it possible to find the direction of descent and solve the problem of excluding constraints from the active set without solving systems of linear equations. …”
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Reliability-Based Geotechnical Design Method Using the Gaussian Process Regression–Based Differential Evolution Algorithm by Kai Wen, Zemin Kuang, Wei Zeng, Sanyou Zeng, Yue Qiu

“…This scenario frames reliability-based geotechnical design as a constrained optimization problem (COP) characterized by a low-cost objective and high-cost constraints. …”
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Discrete Phase Shift IRS-Assisted Energy Harvesting in Cognitive Radio Networks With Spectrum Sensing by Lilian Chiru Kawala, Guoquan Li, Mihertie Habtamu Demeke, Junzhou Xiong, Hao Xiong, Hang Hu

“…In this paper, we establish a unified system model for IRS-assisted Multiple Input Single Output (MISO) EH-CRNs that formulates an optimization problem to maximize SU throughput under practical constraints, including discrete IRS phase shifts, beamforming design, false alarm control, energy causality, and SU Quality of Service (QoS) requirements. …”
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Direct blind multiuser detection without channel estimation and equalizer design by ZHANG Zhi-yong1, LING Yun2

“…Using only the spreading code of the desired user and the property that the transmitted signals belong to the finite discrete-alphabet, the problem was formulated into a quadratic optimization with binary constraints. …”
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A Real-Life Demonstration of Secondary Frequency Reserve Provision with Electric Water Heaters by Louis Brouyaux, Sandro Iacovella, Sylvain Quoilin

“…To handle the uncertainty related to service activation, we incorporate chance constraints in the optimization model and reformulate it as a robust problem. …”
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Network access and spectrum allocation in next-generation multi-heterogeneous networks by Xiaoqing Dong, Lianglun Cheng, Gengzhong Zheng, Tao Wang

“…By preprocessing of objective function, constraint simplification, and standardization, the complex spectrum allocation problem is transformed into a standard form of the 01 programming problem, and the solution is obtained by an improved Hungarian algorithm. …”
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A QoS-based network planning method for power fiber to the home by Shuai SHAO, Zhijun SHANG, Zhongfeng WANG, Guoliang XIN, Yueyue LI, Xiangyu KONG, Xujing PENG

“…A QoS-based network planning method for power fiber to the home was proposed.Firstly,the distribution structure of different buildings was combined to carry out targeted ODN line path design.Secondly,in the ONU packet cluster planning stage,in order to meet the QoS requirements of multi-service differentiation,the communication cost as the optimization goal was uesd,and the optimization problem model was established with the constraints of access capacity,reliability and delay.At the same time,intelligent algorithms were used to solve the optimization problem model.Finally,the optical path attenuation of the planned network was calculated to meet the actual application needs.The simulation results show that the proposed QoS-based network planning method for power fiber to the home can save network construction cost while ensuring service reliability and delay requirements.…”
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