Optimal distributed generation placement and sizing using modified grey wolf optimization and ETAP for power system performance enhancement and protection adaptation by Nasreddine Bouchikhi, Fethi Boussadia, Riyadh Bouddou, Ayodeji Olalekan Salau, Saad Mekhilef, Chaima Gouder, Sarra Adiche, Abdallah Belabbes

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Polynomial time algorithm for solving k-coverage problem in wireless sensor networks by Qi WANG, Zheng’an XIAO, Huaixing WANG

“…How to solve the k-coverage problem,which was divided into worst-case and best-case,inside the two-dimensional target area in wireless sensor networks was explored,and a polynomial time algorithm for solving this problem was put forward.In this algorithm,a series of definitions and theorems were proposed based on the geometric graph of growing disks,and the k-coverage problem was transformed into one of finding a series of adjacent borders.The simulation results show that the algorithm could compute the optimal k-breach path and k-support path in polynomial time,so as to avoid or select the network coverage reasonably.…”
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Pilot scheduling algorithm based on cell classification-cross entropy for massive MIMO by Yinhui YU, Heng ZHOU, Ying YANG, Hao PAN, Jiapeng REN

“…Pilot scheduling problem belongs to the arrangement optimization problem, and the algorithm computational complexity of greedy algorithm to search the optimal solution is greatly. …”
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Pilot scheduling algorithm based on cell classification-cross entropy for massive MIMO by Yinhui YU, Heng ZHOU, Ying YANG, Hao PAN, Jiapeng REN

“…Pilot scheduling problem belongs to the arrangement optimization problem, and the algorithm computational complexity of greedy algorithm to search the optimal solution is greatly. …”
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Dense Matching with Low Computational Complexity for Disparity Estimation in the Radargrammetric Approach of SAR Intensity Images by Hamid Jannati, Mohammad Javad Valadan Zoej, Ebrahim Ghaderpour, Paolo Mazzanti

“…In this study, inspired by the advantages of local matching algorithms, a computationally efficient and novel model is proposed for extracting corresponding pixels in SAR-intensity stereo images. …”
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Resource allocation algorithm based on the multi-relay decoding-and-forwarding in OFDM system by Tao GUO, Youming LI, Ting LI, Yuzhi YAN

“…To reduce the computational complexity，the information transmission mode and the optimal relay set that assisting the transmission under relay mode were determined first，then the original problem was transformed into a dual problem to achieve the joint optimization solution of subcarrier-pairing and power allocation. …”
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GCB‐YOLO: A Lightweight Algorithm for Wind Turbine Blade Defect Detection by Zhiming Zhang, Chaoyi Dong, Ze Wei, Xiaoyan Chen, Weidong Zan, Yao Xue

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RTL-Net: real-time lightweight Urban traffic object detection algorithm by Zhiqing Cui, Jiahao Yuan, Haibin Xu, Yamei Wei, Zhenglong Ding

“…Experimental results demonstrate that the proposed algorithm achieves a significant 43.9% reduction in parameters and an 18.9% decrease in computational complexity. …”
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Intelligent transmit power control algorithm for the multi-user interference of wireless network by Xianchao ZHANG, Yao ZHAO, Haijun YE, Rui FAN

“…To deal with the inter-user interference problem in wireless networks, an intelligent transmit power control scheme was proposed to manage the inter-user interference and guarantee multiple users' quality of service.Firstly, considering the complex dynamic wireless channel environment, a transmit power control model that aims to maximize the weighted sum-rate of the wireless communication system was established.Then, an intelligent power control algorithm based on the actor-critic framework in deep reinforcement learning was designed to shorten the power control decision time.Simulation results show that the proposed algorithm converges quickly, and when there are 10 pairs transceivers, the computation time consumed by the intelligent power control method is only a quarter of the time consumed by the traditional optimal algorithm.…”
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Encapsulation of anticancer drugs into carbon nanotubes: Heuristic algorithm approach and mathematical model. by Kanes Sumetpipat, Duangkamon Baowan

“…We derive analytical expression for the interaction energy between an atom and an infinite cylinder, and utilize the U-NSGA-III algorithm to optimize the system's energy by varying molecular positions and tube radius. …”
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Optimal allocation of STATCOM for multi-objective ORPD problem on thermal wind solar hydro scheduling using driving training based optimization by Tushnik Sarkar, Sabyasachi Gupta, Chandan Paul, Susanta Dutta, Provas Kumar Roy, Anagha Bhattacharya, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

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Comprehensive recognition algorithm of RS code based on fast code root trial by Xiaolin ZHANG, Xiuqiao LI, Rongchen SUN

“…In order to solve the problem of high computation and high missed alarm probability of RS (Reed-Solomon) codes for recognition, comprehensive recognition algorithm of RS codes based on fast code root trial was proposed.Firstly, the check relationship was solved in binary equivalently and fast code root trial was used to check parameters in sequence.Secondly, according to distribution characteristics of the combined code roots, m-level primitive polynomial field and error correction ability was associatively determined.Finally, the short codes and long codes were given different confidence weights and the determined parameters were comprehensively analyzed.The optimal parameter was selected and the generate polynomial was calculated.The proposed algorithm did not need prior information such as signal-to-noise ratio (SNR), and had good adaptability.The simulation results show that the proposed algorithm can effectively reduce the missed alarm probability under the condition of low complexity.Compared with the conventional hard decision algorithm, the performance of the proposed algorithm is improved, and the parameter recognition of RS codes can be completed quickly.…”
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Adaptive Control Algorithm for Trajectory Tracking of Underactuated Unmanned Surface Vehicle (UUSV) by Chandanlal Karnani, Syed Akhter Raza, Muhammad Asif, Muhammad Ilyas

“…In this research, the designed algorithm defines the path and minimizes the disturbances to zero. …”
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Efficient Task Scheduling and Load Balancing in Fog Computing for Crucial Healthcare Through Deep Reinforcement Learning by Prashanth Choppara, Bommareddy Lokesh

“…The foundation of this approach is the DRL model, which is designed to dynamically optimize the partition of computational tasks across fog nodes to improve both data throughput and operational response times. …”
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Research on Multirobot Pursuit Task Allocation Algorithm Based on Emotional Cooperation Factor by Baofu Fang, Lu Chen, Hao Wang, Shuanglu Dai, Qiubo Zhong

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Dynamic and adaptive multi-path routing algorithm based on software-defined network by Wu Jiawei, Qiao Xiuquan, Nan Guoshun

“…Moreover, our proposed algorithm can significantly reduce the computational overhead of the controller while completing a fine-grained flow balance. …”
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Application-Oriented Fault Detection and Recovery Algorithm for Wireless Sensor and Actor Networks by Jinglin Du, Li Xie, Xiaoyan Sun, Ruoqin Zheng

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Multi-User Task Offloading Strategy in RIS-Aided Multi-AP Mobile Edge Computing Networks by Wen Zhou, Ling Miao, Dan Deng, Min Hua, Dan Xiang, Chunguo Li

“…In this paper, we consider a reconfigurable intelligent surface (RIS)-aided edge computing-enabled multiuser networks with multiple access points (APs) and investigate the computation offloading strategy of user equipments (UEs). …”
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Flow-of-traffic prediction program based mobile edge computing for Internet of vehicles using double auction by Yan LIN, Shuai YAN, Yijin ZHANG, Chunguo LI, Feng SHU

“…With an aim of maximizing the efficiency of edge offloading and the resource utilization of edge computing server simultaneously, a new flow-of-traffic prediction based edge computing offloading solution was proposed for Internet of vehicles (IoV).Firstly, both the efficiency utility function of vehicle and the resource utilization of mobile edge computing (MEC) server were established by considering task priority.Next, the formulated dual-objective optimization problem was transformed into a double auction problem between vehicles and MEC servers.Finally, based on the designed flow-of-traffic based pricing function of vehicle and MEC server, a McAfee auction algorithm was adopted to complete the edge computing process.Simulation results show that benefiting from the flow-of-traffic prediction information, the proposed solution can significantly improve both the efficiency of computation offloading and the utilization of computation resource.…”
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Design of FPGA-Based Accelerator for Convolutional Neural Network under Heterogeneous Computing Framework with OpenCL by Li Luo, Yakun Wu, Fei Qiao, Yi Yang, Qi Wei, Xiaobo Zhou, Yongkai Fan, Shuzheng Xu, Xinjun Liu, Huazhong Yang

“…Among these, FPGA can accelerate the computation by mapping the algorithm to the parallel hardware instead of CPU, which cannot fully exploit the parallelism. …”
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