咨询与建议

限定检索结果

文献类型

  • 40 篇 期刊文献
  • 17 篇 会议

馆藏范围

  • 57 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 33 篇 工学
    • 13 篇 计算机科学与技术...
    • 8 篇 电气工程
    • 4 篇 光学工程
    • 4 篇 信息与通信工程
    • 4 篇 软件工程
    • 3 篇 机械工程
    • 3 篇 控制科学与工程
    • 3 篇 石油与天然气工程
    • 2 篇 力学(可授工学、理...
    • 2 篇 仪器科学与技术
    • 2 篇 电子科学与技术(可...
    • 2 篇 测绘科学与技术
    • 1 篇 材料科学与工程(可...
    • 1 篇 动力工程及工程热...
    • 1 篇 航空宇航科学与技...
  • 31 篇 理学
    • 24 篇 数学
    • 5 篇 物理学
    • 1 篇 地球物理学
    • 1 篇 生物学
  • 10 篇 管理学
    • 10 篇 管理科学与工程(可...
    • 1 篇 工商管理
  • 2 篇 医学
    • 2 篇 临床医学
  • 1 篇 经济学
    • 1 篇 应用经济学
  • 1 篇 农学
    • 1 篇 林学

主题

  • 57 篇 self-adaptive al...
  • 8 篇 demicontractive ...
  • 6 篇 split common fix...
  • 5 篇 inertial algorit...
  • 4 篇 weak convergence
  • 3 篇 digital image co...
  • 3 篇 inertial techniq...
  • 3 篇 image restoratio...
  • 3 篇 split feasibilit...
  • 2 篇 split common fix...
  • 2 篇 hilbert space
  • 2 篇 nonexpansive map...
  • 2 篇 split proximal a...
  • 2 篇 optimization
  • 2 篇 equilibrium prob...
  • 2 篇 metric projectio...
  • 2 篇 inertial acceler...
  • 2 篇 split common fix...
  • 2 篇 wsn
  • 2 篇 strong convergen...

机构

  • 4 篇 civil aviat univ...
  • 3 篇 technion israel ...
  • 2 篇 che ctr excellen...
  • 2 篇 tianjin polytech...
  • 2 篇 chiang mai univ ...
  • 2 篇 tsinghua univ co...
  • 1 篇 shandong univ sc...
  • 1 篇 gyeongsang natl ...
  • 1 篇 natl pingtung un...
  • 1 篇 ajou univ dept s...
  • 1 篇 univ elect sci &...
  • 1 篇 chinese acad sci...
  • 1 篇 texas a&m univ q...
  • 1 篇 china univ min &...
  • 1 篇 china univ min &...
  • 1 篇 chiang mai univ ...
  • 1 篇 hanoi univ sci &...
  • 1 篇 kaohsiung med un...
  • 1 篇 chinese acad sci...
  • 1 篇 natl econ univ f...

作者

  • 5 篇 suparatulatorn r...
  • 3 篇 charoensawan pha...
  • 3 篇 deb kalyanmoy
  • 3 篇 reich simeon
  • 3 篇 suantai suthep
  • 2 篇 duan peichao
  • 2 篇 truong minh tuye...
  • 2 篇 poochinapan kany...
  • 2 篇 zhao jing
  • 2 篇 yao yonghong
  • 2 篇 phudolsitthiphat...
  • 2 篇 zhao jiaqing
  • 1 篇 tien dung vu
  • 1 篇 cheng chuntian
  • 1 篇 lozano jose a.
  • 1 篇 li xin
  • 1 篇 thong duong viet
  • 1 篇 srivastava sourn...
  • 1 篇 peng xiaoling
  • 1 篇 postolache mihai

语言

  • 49 篇 英文
  • 7 篇 其他
  • 1 篇 中文
检索条件"主题词=Self-adaptive algorithm"
57 条 记 录,以下是51-60 订阅
排序:
Automatic Identification of Multi-interface in Crude Oil Tank Based on self-adaptive algorithm of Linearity and Recursion
Automatic Identification of Multi-interface in Crude Oil Tan...
收藏 引用
2007 8th International Conference on Electronic Measurement & Instruments(ICEMI’2007)
作者: Chang Li 1 Xie Yanmin 2 (1.School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110023, China. 2.Shenyang Academy of Instrumentation Science, Shenyang 110043, China
A new self-adaptive algorithm based on the frequency signal of the moving transmitter was proposed and tested by the experiment, which could identify automatically the dynamic multi-interfaces of gas/oil and oil/water... 详细信息
来源: 评论
An Efficient and Accurate Solution Methodology for Bilevel Multi-Objective Programming Problems Using a Hybrid Evolutionary-Local-Search algorithm
收藏 引用
EVOLUTIONARY COMPUTATION 2010年 第3期18卷 403-449页
作者: Deb, Kalyanmoy Sinha, Ankur Indian Inst Technol Kanpur Dept Mech Engn Kanpur 208016 Uttar Pradesh India Aalto Univ Sch Econ Dept Business Technol Helsinki 00076 Finland
Bilevel optimization problems involve two optimization tasks (upper and lower level), in which every feasible upper level solution must correspond to an optimal solution to a lower level optimization problem. These pr... 详细信息
来源: 评论
A Bi-criterion Approach to Multimodal Optimization: self-adaptive Approach
A Bi-criterion Approach to Multimodal Optimization: Self-ada...
收藏 引用
8th International Conference of Simulated Evolution and Learning
作者: Saha, Amit Deb, Kalyanmoy Indian Inst Technol Kanpur Genet Algorithms Lab KanGAL Kanpur 208016 Uttar Pradesh India
In a multimodal optimization task, the main purpose is to find multiple optimal solutions, so that the user can have a better knowledge about different optimal solutions in the search space and as and when needed, the... 详细信息
来源: 评论
A Genetic algorithm Based Augmented Lagrangian Method for Computationally Fast Constrained Optimization
收藏 引用
1st International Conference on Swarm, Evolutionary, and Memetic Computing
作者: Srivastava, Sournil Deb, Kalyanmoy Indian Inst Technol Dept Mech Engn KanGAL Kanpur 208016 Uttar Pradesh India
Among the penalty based approaches for constrained optimization, Augmented Lagrangian (AL) methods are better in at least three ways: (i) they have theoretical convergence properties, (ii) they distort the original ob... 详细信息
来源: 评论
Day-Ahead Electricity Price Forecasting Using Artificial Intelligence
Day-Ahead Electricity Price Forecasting Using Artificial Int...
收藏 引用
IEEE Electrical Power and Energy Conference
作者: Zhang, Jun Cheng, Chuntian Dalian Univ Technol Dept Civil & Hydraul Engn Dalian 116024 Peoples R China
Accurate day-ahead electricity price forecasting (DEPF) has significant meanings in deregulated electrical power market due to its profitable function for all the participants to make reasonable decisions during the m... 详细信息
来源: 评论
Solving non-linear viscoelastic problems via a self-adaptive precise algorithm in time domain
收藏 引用
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES 2004年 第20期41卷 5483-5498页
作者: Yang, HT Han, Z Dalian Univ Technol State Key Lab Struct Anal Ind Equipment Dept Engn Mech Dalian 116024 Peoples R China
This paper presents a new scheme of time stepping for solving non-linear viscoelastic problems with a two-level expanding technique. By expanding variables at a discretized time interval, a non-linear coupled space/ti... 详细信息
来源: 评论
PSO under an adaptive scheme
PSO under an adaptive scheme
收藏 引用
IEEE Congress on Evolutionary Computation
作者: Breaban, M Luchian, H Alexandru Ioan Cuza Univ Fac Comp Sci Iasi Romania
This paper presents an attempt to transform PSO into a self-adaptive algorithm based on specific swarm-inspired operators. New features are introduced: spatial expansion intended to overcome premature convergence (an ... 详细信息
来源: 评论