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    Application of improved particle swarm optimization algorithm combined with genetic algorithm in shear wall design by Wei Gao

    Published 2025-12-01
    “…The improved algorithm is based on the basic framework of genetic algorithm and particle swarm optimization algorithm, first adjusting the inertia weight, and then introducing elimination mechanism and mutation rate control. …”
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    Classification Based on Brain Storm Optimization With Feature Selection by Yu Xue, Yan Zhao, Adam Slowik

    Published 2021-01-01
    Subjects: “…Brain storm optimization (BSO) algorithm…”
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  6. 246

    Optimized coverage algorithm of wireless video sensor network based on quantum genetic algorithm by Fu-you FAN, Guo-wu YANG, Qian-qi LE, Feng-mao LV, Chao ZHAO

    Published 2015-06-01
    “…According to the construction needs of the smart city wireless video sensor network,an optimized network coverage algorithm based on quantum genetic algorithm is proposed.The algorithm fits in with complicated monitoring scene which has some different obstacles and different degree of importance.The monitoring region is depicted by two-dimensional discrete grid model,and the discrete grid model is represented by a code description matrix.The directional wireless video sensor is described by a seven-tuples.The mathematical programming model of the coverage problem is obtained by strict mathematical derivation.The optimized coverage algorithm is comprised by IntialDeployment and OptimizedDeployment algorithms,which takes the maximum coverage rate network deployment scheme as the solving goal.The quantum genetic algorithm with reasonable chromosome coding and optimized quantum rotation gate parameter is used to search the solution space,which has a good convergence rate and a fast computation speed.Two limit values of ideal coverage rate and ideal weighted coverage rate are introduced to evaluate the algorithm by the way of relative comparison.The result of simulation experiments and data analyses show that the solutions worked out by the algorithm can well approximate the ideal limit value.When the number of sensor nodes is given,the algorithm can obtain the maximum effective coverage rate.…”
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    Study on virtual resource allocation optimization in cloud computing environment by Li XU, Zhi-bin ZENG, Chuan YAO

    Published 2012-09-01
    “…Most existing researches of resource allocation in data center did not take into full consideration how to decrease energy consumption.The energy efficiency virtual resource allocation for cloud computing as a multi-objective optimization problem was formulated,which was then solved by intelligent optimization algorithm.The simulation results reveal that the strategy can successfully generate schedule scheme of different numbers of servers-VM with diverse characteristics and decrease the total operating energy of data center effectively.…”
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    Optimized design of sensing transmission and computing collaborative industrial Internet by Jingbo LI, Li MA, Yang LI, Yingxun FU, Dongchao MA

    Published 2023-06-01
    “…In view of the new scenario and time-sensitive requirements of sensing-transmission end to computing end in the industrial Internet, and to solve the problem of end-to-end delay in applications that were not up to standard, a network optimized design scheme for sensing-transmission cooperative computing was proposed.First, the sensing-transmission computing cooperative network architecture based on cloud-edge-end was proposed to promote the deep integration of multidimensional systems and heterogeneous resources.Secondly, the network topology construction mode was optimized to reduce the average path length of the network, shorten the propagation distance, and offset the problem of signal decay due to the use of higher frequencies.Finally, the routing method was improved, and an integrated algorithm of topology optimization and routing strategy was designed to reduce the queuing delay in the network, control the end-to-end delay within a bounded range, and weaken the “long tail phenomenon”.The experimental results show that the scheme reduces the end-to-end delay and ensures the real-time and reliability of the network by optimizing the network topology and routing strategy and integrating the design.…”
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    Construction and optimization of a smart classroom system for emotional computing by HUANG Lijuan, CHENG Zhengyi, YANG Ziyan

    Published 2024-06-01
    “…Finally, through verification, the multiple resources joint optimization method of the smart classroom system can effectively reduce the maximum delay of device data collection and processing, greatly improve the real-time performance of emotional computing in the smart classroom system, and avoid blindly pursuing the minimum average delay, effectively avoiding the situation where a single user experienced poorly due to poor real-time performance. …”
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    An Efficient Line Search Algorithm for Large Scale Optimization by Abbas Al-Bayati, Ivan Latif

    Published 2010-03-01
    “…In this work we present a new algorithm of gradient descent type, in which the stepsize is computed by means of simple approximation of the Hessian Matrix to solve nonlinear unconstrained optimization function. …”
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    Illustration visual communication based on computer vision image retrieval algorithm by H.Z. Zhang

    Published 2025-02-01
    “…In illustration design, good visual communication can make the audience resonate. Computer vision image retrieval algorithm provides important support and assistance for the visual communication of illustration. …”
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