Literature review for the topic of automation of scheduling classes and exams in higher education institutions by Wadhah M Al-Gabri

“…Graph theory methods, heuristic and hybrid optimization algorithms, linear integer programming techniques, system analysis methods, and other modern techniques of discrete mathematics are applied to solve the problems in hand. …”
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NeuHH: A Neuromorphic-Inspired Hyper-Heuristic Framework for Solving the Capacitated Single-Allocation p-Hub Location Routing Problem by Kassem Danach, Hassan Harb, Semaan Amine, Mariem Belhor

“…This paper introduces a novel neuromorphic-inspired hyper-heuristic framework (NeuHH) for solving the Capacitated Single-Allocation p-Hub Location Routing Problem (CSAp-HLRP), a challenging combinatorial optimization problem that jointly addresses hub location decisions, capacity constraints, and vehicle routing. …”
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A Deep Learning-Driven Black-Box Benchmark Generation Method via Exploratory Landscape Analysis by Haoming Liang, Fuqing Zhao, Tianpeng Xu, Jianlin Zhang

“…This study proposes a method for generating benchmark functions tailored to single-objective continuous optimization problems with boundary constraints using predefined ELA feature vectors to guide their construction. …”
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Shunt active power filter using model predictive control with stability guarantee by Jhon Pérez-Ramírez, Diego Montoya-Acevedo, Walter Gil-González, Oscar Danilo Montoya, Carlos Restrepo

“…This paper presents a model predictive control (MPC) strategy to solve an optimization problem based on system state and control variables, subject to constraints imposed by the control objective. …”
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Energy and Spectrum Efficient Transmission Techniques Under QoS Constraints Toward Green Heterogeneous Networks by Haris Pervaiz, Leila Musavian, Qiang Ni, Zhiguo Ding

“…This paper proposes a joint energy efficiency (EE) and spectrum efficiency (SE) tradeoff analysis as a multi-objective optimization problem (MOP) in the uplink of multi-user multi-carrier two-tier orthogonal frequency division multiplexing access heterogeneous networks subject to users’ maximum transmission power and minimum rate constraints. …”
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Research on Laser Radar Inspection Station Planning of Vehicle Body-In-White (BIW) with Complex Constraints by Lijuan Li, Siyi Wang, Jichao Ma, Xiaobing Gao

“…Secondly, kinematic equations are formulated using Denavit–Hartenberg (D-H) parameters, while a hierarchical bounding volume collision detection mechanism is integrated to establish a comprehensive constraint. Therefore, unified optimization method synergizing measurement coverage, robotic manipulator reachability, and operational safety requirements are proposed. …”
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Flexible Job Shop Scheduling with Job Precedence Constraints: A Deep Reinforcement Learning Approach by Yishi Li, Chunlong Yu

“…The flexible job shop scheduling problem with job precedence constraints (FJSP-JPC) is highly relevant in industrial production scenarios involving assembly operations. …”
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Research on planning and demand matching strategies for intelligent material supply chains under carbon constraints by Shao Xuwei, Wu Jianfeng, Ge Junping, Wang Jianguo, Hu Kairui, Qiu Yang, Ju Chunhua, Xu Jiaming

“…For the coordination problem of planned demand in the intelligent material supply chain under carbon constraints, its supply chain network presents the characteristics of multi-source, multi-demand and high dispersion. …”
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Trajectory Planning for Point-to-Point Motion Using High-order Polynomials by Hossein Barghi Jond, Vasif V. Nabiyev, TuÄrul Ãavdar

“…The problem aims to find suitable polynomial trajectories that connect an initial to a final configuration while satisfying other specified constraints. …”
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<i>H</i>_∞ Control for Systems with Mechanical Constraints Based on Orthogonal Decomposition by Ahmad Aldaher, Sergei Savin

“…This paper proposes an <inline-formula data-eusoft-scrollable-element="1"><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline" data-eusoft-scrollable-element="1"><semantics data-eusoft-scrollable-element="1"><msub data-eusoft-scrollable-element="1"><mi data-eusoft-scrollable-element="1">H</mi><mo data-eusoft-scrollable-element="1">∞</mo></msub></semantics></math></inline-formula> control design scheme based on solving an optimization problem with linear matrix inequality constraints. …”
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Modeling the Dynamics of a Heavy-Duty Mobile Robot Based on Gauss's Principle of Least Constraint by Amandyk Tuleshov, Assylbek Ozhiken, Kassymbek Ozhikenov, Moldir Kuatova, Gulama-Garip Alisher Ibrayev, Igor Gritsenko, Daniyar Kerimkulov, Assiya Boltaboyeva

“…This paper presents a novel approach to model the dynamics of a heavy-duty mobile robot using Gauss’s principle of least constraint. Unlike traditional Lagrangian methods, which often lead to complex systems of differential and algebraic equations, Gauss's principle simplifies the dynamic equations by reducing the problem to an algebraic form. …”
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Manufacturing engineering production line scheduling management technology integrating availability constraints and heuristic rules by Gu Yun

“…However, the current manufacturing engineering production line scheduling and management technology often has problems with low quality. To improve quality, this study proposes a scheduling management model that combines availability constraints and outsourcing. …”
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Neural Network-Based Path Planning for Fixed-Wing UAVs with Constraints on Terminal Roll Angle by Qian Xu, Fanchen Wu, Zheng Chen

“…This paper presents a neural network-based path planning method for fixed-wing UAVs under terminal roll-angle constraints. The nonlinear optimal path planning problem is first formulated as an optimal control problem. …”
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Modified Non-Negative Constraint Damping Method for T2 Spectrum Inversion of Nuclear Magnetic Resonance by LEI Xin, LIAO Xinkai, LIAO Lidan

“…In order to optimize nuclear magnetic resonance (NMR) logging technology and accelerate the processing speed of NMR logging data, a class of non-negative constraint modified damping algorithm is proposed to solve the NMR T2 spectral inversion problem. …”
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The exactness of the ℓ1 penalty function for a class of mathematical programs with generalized complementarity constraints by Yukuan Hu, Xin Liu

“…In this paper, we consider a class of MPGCCs that are of multi-affine objective functions. This problem class finds applications in various fields, e.g., the multi-marginal optimal transport problems in many-body quantum physics and the pricing problems in network transportation. …”
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Distributed Formation Control with Obstacle and Collision Avoidance for Hypersonic Gliding Vehicles Subject to Multiple Constraints by Zhen Zhang, Yifan Luo, Yaohong Qu

“…Multiple hypersonic gliding vehicles’ (HGVs’) formation control problems with obstacle and collision avoidance are investigated in this paper, which is addressed in the stage of entry gliding. …”
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Vehicular cache nodes selection algorithm under load constraint in C-V2X by Zhexin XU, Kaimeng GAO, Wenkang JIA, Yi WU

“…In order to solve the problem that the C-V2X vehicle topology in urban environment was highly dynamic and the load capacity of vehicle nodes was limited, and improve the utilization of vehicular cache resources and reduce the load of base station, a vehicle cache nodes selection algorithm under load constraints was proposed.Firstly, by defining the link stability metric, the predicted weight adjacency matrix was constructed to describe the vehicular micro-topology in essence.Next, the objective function was further constructed under the load constraints and non-overlapping coverage constraint, which maximized the average link weight of the clusters by using the least cache nodes.Finally, the greedy concept was then introduced and the node states were reasonably defined.As a result, the minimum dominating set of the vehicle topology was figured out under the load constraints.Besides, the serviced neighbor nodes were then determined preferentially.The simulation results show that the proposed algorithm is close to the global optimal results in terms of the number of cache nodes and the average weight of cluster links.Moreover, the repeated response ratio of the proposed algorithm is always zero while the request response ratio can achieve the theoretical upper bound.Furthermore, the response times of cache resources can be also effectively improved.…”
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The electric boat charging problem by Daniel Villa, Alejandro Montoya, Juan M. Ciro

“…Abstract Paper aims This paper studies a new optimization problem called the Electric Boat Charging Problem (EBCP), which is based on the application of electric mobility in a river transport operation problem. …”
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Bi-Objective Optimization for Transportation: Generating Near-Optimal Subsets of Pareto Optimal Solutions by Hongyu Zhang, Qingfang Ruan, Yong Jin, Shuaian Wang

“…Therefore, we shift the focus of bi-objective optimization to finding a subset of Pareto optimal solutions whose resulting set of nondominated objective vectors is the same as, or at least a good approximation of, the full set of nondominated objective vectors for the problem. …”
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Application of Particle Swarm Optimization and Ant Colony Optimization integration in the Aerator Reducer Optimization Design by Wu Dongmin, Rui Yannian, Shen Ming

“…The Ant colony algorithm has the defects of premature convergence as its parameter selection greatly dependent on the personal experience.In order to solve the problem,a PAAA algorithm to optimization design the planetary gear reducer of the aerator is presented.To meet the constraints condition of structure and strength,taking the minimum volume and the highest efficiency of the planetary gear train as objective functions,its optimization mathematics model is established.The Matlab program is wrote to solve the mathematical model by using PAAA algorithm.The research results show that planetary gear train has smaller volume and higher efficiency under assuring the design requirements.The results also verified the PAAA optimization has the advantage of effective,accurate and reliable.…”
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