A joint optimization method of multi backhaul link selection and power allocation in 6G by Qingyang LI, Xueting LI, Xiaorong ZHU

“…Aiming at the problem of limited single backhaul link capability of base stations in hotspot areas of the 6G system, a joint optimization method was proposed for multi-backhaul link selection and power allocation in an elastic coverage system, so that the data packets can select the appropriate backhaul link and transmission power according to their service characteristics and link conditions.Firstly, the transmission delay of data packets on the small cell sub-queue was analyzed by using queuing theory.Then, the optimization objective was modeled with the maximum delay tolerance elasticity value.Finally, the optimization problem were solved by the Hungarian algorithm and the Lagrangian duality and gradient descent method.The simulation results show that, compared with the traditional algorithm, the algorithm proposed reduces the average delay of URLLC (ultra-reliable and low-latency communication) service data packets and eMBB (enhanced mobile broadband) service data packets by 17% and 14% respectively, and effectively improves the network transmission rate.…”
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Application of Hybrid Algorithm Based on Ant Colony Optimization and Sparrow Search in UAV Path Planning by Yangyang Tian, Jiaxiang Zhang, Qi Wang, Shanfeng Liu, Zhimin Guo, Huanlong Zhang

“…Abstract The Traveling Salesman Problem (TSP) is a classic problem in combinatorial optimization, aiming to find the shortest path that traverses all cities and eventually returns to the starting point. …”
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Simulation of Natural Gas Pipeline Networks Based on Roughness Optimization Algorithm and Global Mesh Refinement by Yi Yang

“…The roughness identification problem is then transformed into an optimization problem by minimizing the error between measured and simulated values. …”
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Optimizing the Location of 5G Network Base Stations Taking into Account Intra-System Interference by Serhii Siden, Roman Tsarоv, Mohammed Jamal Salim, Kateryna Shulakova, Saad Malik Talha, Liliia Bodnar

“…This work is devoted to the structural optimization of 5G networks, specifically addressing the problem of base station (BS) placement optimization in indoor network deployment. …”
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A Novel Network Optimization Scheme Based on Anti-Flocking and Improved Nash Equilibrium Algorithm by Tianjun Wang, Shuchang Zhang, Lishan Liu, Duanpo Wu, Xinyu Jin, Shuwei Cen, Bing Fan

“…In this paper, a novel network optimization scheme based on anti-flocking model and improved Nash Equilibrium (NE) algorithm is proposed by studying the problem of dynamic UAV deployment and backhaul transmission. …”
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A Fuzzy Dynamic Programming for the Optimal Allocation of Health Centers in some Villages around Baghdad

“…The results of this studyareproved after a real-life problem was solved that the proposed method is an effective mathematical model for making a series of related decisions, and it provides us with a systematic procedure to determine the optimal combination of decisions. …”
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Research on DV-Hop location algorithm based on range correction and improved gray wolf optimizer by Xiaoqiang ZHAO, Shuai WU, Chuanyi GAO, Ning LI, Bodong LI, Xiaoyong YANG

“…Node location is an important problem in wireless sensor network.Although the location algorithm based on distance measurement has small positioning error, it has many limitations when applied to outdoor environments.Therefore, based on the original distance vector-hop (DV-Hop) algorithm, received signal strength indication (RSSI) technology and the minimum mean square error (MMSE) criterion to modify the algorithm’s ranging process were introduced, and the improved gray wolf optimizer was used to optimize the process of determining the coordinates of unknown nodes.Simulation results show that, compared with the original DV-Hop algorithm and IPDV-Hop algorithm, the average location error rate of the IGDV-Hop algorithm under the initial parameters was reduced by 28% and 17% respectively, and the location effect was significantly improved.…”
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Design of distributed implementation and performance analysis of asymptotic optimality for cooperative two-way relaying networks by LI Chun-guo1, ZHONG Chong-xian2, YANG Lv-xi1, PAN Yue3

“…The realization scheme in the distributed manner was researched for the cooperation transmission of the multi-ple two-way relays,moreover the performance analysis of the asymptotic optimality was also presented.First of all,an upper-bound function was obtained for the true value of the average mean squared error of the whole system by the SNR approximations.Furthermore,a mathematical model was established based on this bound function.Secondly,an optimal solution was obtained for the established problem by using the matrix transform and mathematical derivations.Finally,the realization scheme was obtained in the distributed manner.The proposed scheme avoided the strict requirement that every relay must know the full channel state information（CSI） of the whole networks,while can easily achieve the gain of the relays cooperation by requiring every relay know its local CSI consisted of its forward and backward CSI.There-fore,the proposed scheme not only avoided the central control as required by the central manner and the large amount of the feedback overheads,but also achieved much gain.Theory analysis shows that the proposed scheme is asymptotically optimal.…”
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IMPLEMENTATION OF INTEGER PROGRAMMING USING THE BRANCH AND BOUND METHOD ASSISTED BY PYTHON IN OPTIMIZING THE PRODUCTION OF COOKIES by Nira Nityasa Saranta, Susi Setiawani, Rafiantika Megahnia Prihandini, Antonius CahyaPrihandoko, Edy Wihardjo

“…The limitation of the problem in this research is that the model to be studied is limited to the average condition of demand is standard and when demand is high. …”
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Live video transmission optimization mechanism based on edge intelligence in high client-density environment by Xiaodan GU, Wenjia WU, Zhen LING

“…The traditional live video transmission optimization mechanism is deployed on the server side, which cannot quickly respond to the dynamic changes of the user’s wireless network environment.To address this problem, a live video transmission optimization mechanism based on edge intelligence called S-Edge was proposed.It was deployed on the OpenWrt-based wireless access point, and comprehensively utilized the wireless channel state information such as airtime utilization and signal-to-noise ratio to make intelligent decisions on terminal priority and transmission rate based on fuzzy logic theory.Furthermore, the active queue management with hierarchical token bucket and service demand-driven wireless transmission rate adaptive control technologies were introduced to realize the real-time scheduling of live video data.In order to verify the effectiveness and performance of the proposed mechanism, a high client-density environment was built through user clusters based on multi-radio interfaces in the real-world scenario.Experimental results show that S-Edge can significantly reduce the average delay and packet loss rate, which meets QoS requirements of live video transmission services in the high client-density environment.…”
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Optimized visual front-end navigation technology based on INS SLAM in smart tourism systems by Cheng Pan, Yuqing Liu, Meijiao Sun

“…Abstract To cater to the development market of the tourism industry, smart travel systems have been explored. Aiming at the optimization problem of navigation and positioning accuracy in the system, an optimization model based on simultaneous localization and mapping is proposed. …”
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End-to-end protocol for high-quality quantum approximate optimization algorithm parameters with few shots by Tianyi Hao, Zichang He, Ruslan Shaydulin, Jeffrey Larson, Marco Pistoia

“…The quantum approximate optimization algorithm (QAOA) is a quantum heuristic for combinatorial optimization that has been demonstrated to scale better than state-of-the-art classical solvers for some problems. …”
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Optimal Spectral Radiation Composition of a LED Phytolapm for Stimulating Carrot and Tomato Seed Development by A. A. Gubina, E. V. Levin, M. M. Romanovich, A. E. Degterev, N. O. Patokov, I. A. Lamkin, S. A. Tarasov

“…Experiments were carried out to study the influence of visible radiation of different quality and quantity on the development parameters of carrot and tomato seeds, including germination energy, the appearance of cotyledon and primary leaves, seed germination, average hypocotyl and root length. Optimal spectral composition and radiation power parameters ensuring effective growth of plants were determined.Results. …”
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Inner–Outer Loop Intelligent Morphology Optimization and Pursuit–Evasion Control for Space Modular Robot by Wenwei Luo, Ling Meng, Fei Feng, Pengyu Guo, Bo Li

“…This paper proposes an inner–outer loop computational framework to address the morphology optimization and pursuit–evasion control problem for space modular robots. …”
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Providing a framework to optimize the sustainable construction material supply chain with the possibility of horizontal transfers by Hamed Ghamari, Hamidreza Abbasianjahromi, Seyed Mohammad Mirhosseini

“…The results show that while both the ant-lion and gray wolf algorithms deliver comparable average performance, the gray wolf algorithm excels in terms of solution time, making it more effective for real-time problem-solving. …”
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Municipal solid waste supply chain optimization for value-added product development under uncertainty by Muazzam Mukhtar, Muhammad Rizwan, Atta Ullah, Ali Elkamel, Salman Raza Naqvi, Muhammad Zaman

“…This study focuses on addressing the MSW supply chain problem by exploring the optimal location for the waste treatment. …”
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Inter-Satellite Handover Method Based Multi-Objective Optimization in Satellite-Terrestrial Integrated Network by Renpeng LIU, Bo HU, Hequn LI

“…The high-speed motion of low-earth orbit communication satellites results in a highly dynamic network topology, and the spatio-temporal distribution of resources in the satellite-terrestrial integrated network is non-uniform.When multiple users and services switch between satellites, a large number of handover requests are triggered, leading to intensified network resource competition.As a result, the limited satellite resources cannot meet all the handover requests, leading to a significant decrease in handover success rate.In view of the above problem, the multi-objective optimization based satellite handover method was proposed.It introduced the satellite coverage spatio-temporal graph and transforms the dynamic continuous topology into static discrete snapshots, accurately depicted the connections between satellite nodes and users at different times and locations.The multi-objective optimization model was established for satellite handover decisions, and anadaptive accelerated multi-objective evolutionary algorithm(AAMOEA) was proposed to optimized user data rate and network load simultaneously, ensured handover success rate and enhanced network service capability.It built a STIN communication simulation environment and tested the multi user handover performance in a multi satellite overlapping coverage scenario.The results demonstrated that the multi-objective optimization-based satellite handover method achieved an average handover success rate improvement of over 20% compared to benchmark algorithms.…”
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Fault Diagnosis of Switching Power Supplies Using Dynamic Wavelet Packet Transform and Optimized SVM by Jie Xu, Jingjing Zhu, Zhifeng Wang

“…Finally, the APABC is used to optimize the SVM classifier parameters to improve the classification performance and avoid the local optimum problem. …”
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Flexible robust optimization for Renewable-only VPP bidding on electricity markets with economic risk analysis by Hadi Nemati, Pedro Sánchez-Martín, Lukas Sigrist, Luis Rouco, Álvaro Ortega

“…This work introduces a regret-based flexible robust optimization problem to address this gap, accounting for various sources of uncertainty in energy and reserve prices, as well as the production of non-dispatchable renewable energy sources and demand consumption. …”
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Optimization of Relay Node Deployment in Wireless Sensor Communication Networks Based on IGA-RNDP Algorithm by Shubo Xu, Cheng Zhong

“…By adjusting the operation method of traditional genetic algorithms and introducing relevant algorithm optimization mechanisms, the research method can effectively handle the deployment of relay nodes. …”
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