Combined Heat and Power Dynamic Economic Dispatch with Emission Limitations Using Hybrid DE-SQP Method by A. M. Elaiw, X. Xia, A. M. Shehata

“…Combined heat and power dynamic economic emission dispatch (CHPDEED) problem is a complicated nonlinear constrained multiobjective optimization problem with nonconvex characteristics. …”
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Transport à la demande points à points en zone peu dense. Proposition d’une méthode d’optimisation de tournées by Thierry Garaix, Didier Josselin, Dominique Feillet, Christian Artigues, Élodie Castex

“…We set the mathematical formalism to describe the problem. We then propose and evaluate a specific optimization problem able to find quickly rather good paths, according to the territorial and functional constraints. …”
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Dynamic Trajectory Control and User Association for Unmanned-Aerial-Vehicle-Assisted Mobile Edge Computing: A Deep Reinforcement Learning Approach by Libo Wang, Xiangyin Zhang, Kaiyu Qin, Zhuwei Wang, Hang Yin, Jiayi Zhou, Deyu Song

“…This paper addresses the joint optimization problem of UAV flight trajectory control and user association in dynamic environments, which explicitly incorporates the constraints governed by UAV flight dynamics. …”
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A decomposition approach for integrated locomotive scheduling and driver assignment in rail freight transport by Andreas Bärmann, Alexander Martin, Jonasz Staszek

“…Mathematically, this leads to the combination of a set-packing problem with compatibility constraints and a multi-commodity-flow problem. …”
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Utilizing UAVs in Wireless Networks: Advantages, Challenges, Objectives, and Solution Methods by Mohammad Javad Sobouti, Amirhossein Mohajerzadeh, Haitham Y. Adarbah, Zahra Rahimi, Hamed Ahmadi

“…UAVs can act as flying base stations, relays, or users to provide wireless services to ground users or devices. However, the optimal placement and trajectory design of UAVs in mobile networks is a challenging problem, as it involves multiple objectives, constraints, and uncertainties. …”
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Research on deep reinforcement learning in Internet of vehicles edge computing based on Quasi-Newton method by ZHANG Jianwu, LU Zetao, ZHANG Qianhua, ZHAN Ming

“…By introducing Lagrange multipliers and a reconstructed dual function, the non-convex optimization problem was transformed into a convex optimization problem of the dual function, ensuring the global optimality of the algorithm. …”
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Beamforming algorithm for cognitive satellite and terrestrial network based on UAV relay by Yanli LI, Zhi LIN, Zining WANG, Ba XU, Ming CHENG, Jian OUYANG

“…Two beamforming (BF) schemes to achieve spectrum sharing by suppressing inter-system interferences in cognitive satellite and terrestrial networks were proposed, where the satellite and UAV cooperative network was used as the secondary network, while the terrestrial network was used as the primary network.Specifically, considering that only the statistical channel state information was available, a constrained optimization problem was formulated to maximize the signal-to- interference-plus-noise ratio of the secondary user under the constraints of the maximum transmit power at the UAV and the interference power of the primary user.Then, an iteration-based BF scheme was proposed to solve the constrained optimization problem.To reduce the computational complexity of the iterative algorithm, a zero-forcing based BF scheme was further proposed.Finally, computer simulations verify the correctness and effectiveness of the proposed BF schemes.…”
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Synthesis and Solution Region Analysis Method of Linear Guide Mechanism by Qian Weixiang, Liu Shuang, Shi Xiaojuan

“…The proposed method will discard the segments that do not meet the conditions according to the constraints， and then quickly and accurately find the engineering practical mechanism to solve the problem of difficult mechanism optimization. …”
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APPLICATION OF HYBRID RANDOM SEARCH METHOD TO OPTIMISATION OF ENGINEERING SYSTEMS’ PARAMETERS by A. V. Panteleev, D. A. Rodionova

“…Thus, the problem of exterior penalty function optimization is considered, where the penalty coefficients are chosen in such a way as to avoid the violation of the constraints. …”
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Robust resource allocation algorithm for multicarrier NOMA security communication system by Yu ZHANG, Xiongwen ZHAO, Xiaoqing WANG, Suiyan GENG, Peng QIN, Zhenyu ZHOU

“…To improve the spectrum efficiency and enhance the information security of wireless network, a sum secrecy rate maximization-based robust resource allocation algorithm was proposed for a downlink multicarrier NOMA security communication system.Firstly, the artificial noise (AN) precoding vector was designed to be orthogonal to the legitimate channel, so that the legitimate transmission would not be affected by the AN.Then, considering the constraints of rate requirement of each user and the maximum transmit power of base station, a joint AN precoding, downlink data precoding and subcarrier allocation optimization problem was formulated under eavesdropping channel uncertainties.To solve that non-convex problem, it was decomposed into two joint optimization subproblems: precoding optimization and subcarrier allocation.The former was solved based on S-procedure and block coordinate descent (BCD) algorithm, the latter was solved by dynamic matching theory.Simulation results demonstrate that the proposed algorithm has good robustness and can effectively improve the sum secrecy rate.…”
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Analytical Approximation-Based Approach for Passenger Flow Control Strategy in Oversaturated Urban Rail Transit Systems by Qian Zhu, Xiaoning Zhu, Pan Shang, Lingyun Meng

“…Focusing on a heavily congested urban rail corridor, this study investigates the passenger flow control strategy optimization problem from a mesoscopic perspective to reduce platform congestion and enhance service quality. …”
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Two-layer energy scheduling of electrical and thermal smart grids with energy hubs including renewable and storage units considering energy markets by Walid Aich, Ali Basem, Narinderjit Singh Sawaran Singh, Kuwar Mausam, Zahraa Abed Hussein, Saurav Dixit, Naim Ben Ali, Lotfi Ben Said, Wajdi Rajhi, Loghman Mostafazadeh

“…To simplify the bi-level optimization problem into a single-objective model, the Karush–Kuhn–Tucker (KKT) method is applied. …”
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New Heuristic Local Search Method for University Course Timetabling by Mohammad Sadegh Shiri, Mostafa Khorramizadeh, Vahid Ahmadi

“…While the fitness function of the first phase is based on the violation of hard constraints, the fitness function of the second phase is based on the penalty of the feasible solution.Findings: The numerical results indicate that the required computing time increases with the size of instances, and the algorithm tends to converge towards the optimal solution after a few minutes.Originality/Value: The presented algorithm enables us to deal with extensive university course timetabling problems in practice. …”
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Distributed Tracking-ADMM Approach for Chance-Constrained Energy Management with Stochastic Wind Power by Wenjuan Li, Yungang Liu, Huijun Liang, Yongchao Man, Fengzhong Li

“…Although the original problem is transformed into a typical convex optimization problem, the tight coupling of constraints presents challenges to the design of distributed strategy. …”
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Security-driven service caching and computation offloading strategy in air-ground collaborative edge computing networks by WU Mengru, KONG Yawei, HAN Huimei, LU Haiquan, SI Peiyuan, LU Weidang, GUO Lei

“…Since the formulated problem was a mixed-integer nonlinear programming problem that was difficult to solve, an effective bi-level optimization algorithm was developed based on alternating optimization and cross-entropy methods. …”
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Buffer-aided cooperative NOMA with power transfer by Long YANG, Li ZHAO, Yuchen ZHOU, Bingtao HE, Jian CHEN

“…To improve the throughput of multiuser simultaneous wireless information and power transfer systems, a buffer-aided cooperative non-orthogonal multiple access scheme with power transfer was designed to maximize the average throughput under the constraints of average/peak power, user’s rate, and the buffer stability.To reduce the optimization complexity, the Lyapunov’s method was introduced to convert the long-term average optimization problem into a series of time-discrete subproblems, and an adaptive transmission and resource allocation optimization algorithm was proposed, where the working mode, the user scheduling and the power allocation were dynamically optimized according to the time-varying channel/buffer state.Simulation results demonstrate that compared with the existing schemes, the proposed scheme can significantly enhance the average throughput whilst achieving the tradeoff between the delay and throughput.…”
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Research on the Intelligent Bus Scheduling System Based on Genetic Algorithm by LIU Jiguo

“…Aiming at the problem of bus scheduling optimization, it analyzed the bus line model and the hierarchical characteristics of different levels of bus lines, proposed a bus scheduling model based on genetic algorithm and established the objective function and constraints. …”
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Proposition of New Metaphor-Less Algorithms for Reservoir Operation by Vartika Paliwal, Aniruddha D. Ghare, Ashwini B. Mirajkar, Neeraj Dhanraj Bokde, Zaher Mundher Yaseen

“…Reservoir operation optimization is part of water resources management. Reservoir operation optimization is difficult as it involves a large number of variables and constraints to achieve this goal. …”
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Hosting Capacity Enhancement of Photovoltaic Sources, Using Voltage Controller Devices and Energy Storage Systems by seied javad samadi rikandeh, Poorya Maghouli

“…The aim of this optimization problem is to maximize the penetration capacity of PVs that the technical constraints of the Distribution Network are satisfied. …”
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Energy Harvesting for Throughput Enhancement of Cooperative Wireless Sensor Networks by Van-Dinh Nguyen, Chuyen T. Nguyen, Oh-Soon Shin

“…The optimization problem is found to be a nonconvex maximin fractional program, which is difficult to solve in general. …”
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