云南高校图书馆联盟文献共享服务平台- GENETIC

GENETIC_ALGORITHM: 作品数：1297被引量：3046H指数：17; 导出分析报告; 相关作者：朱剑英李敏强寇纪淞孙志峻沈庭芝更多>>; 相关机构：南京航空航天大学北京理工大学东南大学清华大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家高技术研究发展计划国家重点基础研究发展计划中国博士后科学基金更多>>

PHUI-GA: GPU-based efficiency evolutionary algorithm for mining high utility itemsets: 《Journal of Systems Engineering and Electronics》2024年第4期965-975,共11页JIANG Haipeng WU Guoqing SUN Mengdan LI Feng SUN Yunfei FANG Wei; This work was supported by the National Natural Science Foundation of China(62073155,62002137,62106088,62206113);the High-End Foreign Expert Recruitment Plan(G2023144007L);the Fundamental Research Funds for the Central Universities(JUSRP221028).; Evolutionary algorithms(EAs)have been used in high utility itemset mining(HUIM)to address the problem of discover-ing high utility itemsets(HUIs)in the exponential search space.EAs have good running and mining perform...; 关键词：high utility itemset mining(HUIM) graphics process-ing unit(GPU)parallel genetic algorithm(GA) mining perfor-mance

Intelligent optimization methods of phase-modulation waveform: 《Journal of Systems Engineering and Electronics》2022年第4期916-923,共8页SUN Jianwei WANG Chao SHI Qingzhan REN Wenbo YAO Zekun YUAN Naichang; With the continuous improvement of radar intelligence, it is difficult for traditional countermeasures to achieve ideal results. In order to deal with complex, changeable, and unknown threat signals in the complex ele...; 关键词：waveform optimization intelligent optimization PHASE-MODULATION genetic algorithm(GA) particle swarm optimization(PSO)

Improved adaptive genetic algorithm based RFID positioning被引量：9: 《Journal of Systems Engineering and Electronics》2022年第2期305-311,共7页LI Yu WU Honglan SUN Youchao; supported by the Aviation Science Foundation(ASFC-20181352009).; The existing active tag-based radio frequency identi-fication(RFID)localization techniques show low accuracy in practical applications.To address such problems,we propose a chaotic adaptive genetic algorithm to align ...; 关键词：radio frequency identification(RFID)positioning im-proved genetic algorithm Gaussian filter passive tags

Memristive network-based genetic algorithm and its application to image edge detection被引量：6: 《Journal of Systems Engineering and Electronics》2021年第5期1062-1070,共9页YU Yongbin YANG Chenyu DENG Quanxin NYIMA Tashi LIANG Shouyi ZHOU Chen; This work was supported by the National Natural Science Foundation of China(61550110248);the Sichuan Science and Technology Department project(2019YFG0190);the University of Electronic Science and Technology of China project(H04W170186).; This paper proposes a mem-computing model of memristive network-based genetic algorithm(MNGA)by building up the relationship between the memristive network(MN)and the genetic algorithm(GA),and a new edge detection alg...; 关键词：memristive network(MN) genetic algorithm(GA) edge detection mem-computing

System level test selection based on combinatorial dependency matrix被引量：1: 《Journal of Systems Engineering and Electronics》2021年第4期984-994,共11页YANG Peng XIE Haoyu QIU Jing; supported by the National Natural Science Foundation of China(51605482);the Equipment Pre-research Project(41403020101).; Test selection is to select the test set with the least total cost or the least total number from the alternative test set on the premise of meeting the required testability indicators.The existing models and methods ...; 关键词：test selection dependency matrix fault detection rate testability prediction binary genetic algorithm

A dual population multi-operator genetic algorithm for flight deck operations scheduling problem被引量：5: 《Journal of Systems Engineering and Electronics》2021年第2期331-346,共16页CUI Rongwei HAN Wei SU Xichao LIANG Hongyu LI Zhengyang; supported by the National Natural Science Foundation of China(61671462).; It is of great significance to carry out effective scheduling for the carrier-based aircraft flight deck operations.In this paper,the precedence constraints and resource constraints in flight deck operations are analy...; 关键词：genetic algorithm project scheduling flight deck operation transfer times of resources

Solving flexible job shop scheduling problem by a multi-swarm collaborative genetic algorithm被引量：8: 《Journal of Systems Engineering and Electronics》2021年第2期261-271,共11页WANG Cuiyu LI Yang LI Xinyu; supported by the National Key R&D Program of China(2018AAA0101700);the Program for HUST Academic Frontier Youth Team(2017QYTD04).; The flexible job shop scheduling problem(FJSP),which is NP-hard,widely exists in many manufacturing industries.It is very hard to be solved.A multi-swarm collaborative genetic algorithm(MSCGA)based on the collaborativ...; 关键词：flexible job shop scheduling problem(FJSP) collaborative genetic algorithm co-evolutionary algorithm

Joint synchronization estimation based on genetic algorithm for OFDM/OQAM systems被引量：3: 《Journal of Systems Engineering and Electronics》2020年第4期657-665,共9页LIU Yongjin CHEN Xihong ZHAO Yu; supported by the National Natural Science Foundation of China(61671468)。; This paper investigates the problem of synchronization for offset quadrature amplitude modulation based orthogonal frequency division multiplexing(OFDM/OQAM) systems based on the genetic algorithm. In order to increas...; 关键词：offset quadrature amplitude modulation based orthogonal frequency division multiplexing(OFDM/OQAM) SYNCHRONIZATION joint estimation genetic algorithm

Location and allocation problem for spare parts depots on integrated logistics support被引量：3: 《Journal of Systems Engineering and Electronics》2019年第6期1252-1259,共8页WEN Meilin LU Bohan LI Shuyu KANG Rui; supported by the Science Challenge Project(TZ2018007);the National Natural Science Foundation of China(71671009; 61871013; 61573041; 61573043); In equipment integrated logistics support(ILS), the supply capability of spare parts is a significant factor. There are lots of depots in the traditional support system, which makes too many redundant spare parts and ...; 关键词：location problem spare parts depot integrated logis tics support genetic algorithm.

Self-adapting radiation control method for RFS in tracking被引量：4: 《Journal of Systems Engineering and Electronics》2018年第2期244-255,共12页LIU Hongqiang YU Lei YANG Haiyan ZHOU Zhongliang; supported by the National Natural Science Foundation of China(61472441); The aim of this paper is to achieve the radio frequency stealth(RFS) during the course of tracking by controlling the radiation energy and the interval of a radar. Firstly, we build the model of probability of interce...; 关键词：energy control radiation time intercept probability numerical integration genetic algorithm radio frequency stealth(RFS)

GENETIC_ALGORITHM