Continuous algorithms and stochastic dynamics of extremum search

被引:0
|
作者
Krasovskij, A.A. [1 ]
机构
[1] Voennaya Inzhenernaya Akademiya im., N.E. Zhukovskogo, Moscow, Russia
来源
关键词
Optimization;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:55 / 65
相关论文
共 50 条
  • [41] Vlasov Scaling for Stochastic Dynamics of Continuous Systems
    Finkelshtein, Dmitri
    Kondratiev, Yuri
    Kutoviy, Oleksandr
    JOURNAL OF STATISTICAL PHYSICS, 2010, 141 (01) : 158 - 178
  • [42] Stochastic dynamics of fluctuations in classical continuous systems
    Albeverio, S
    Grothaus, M
    Kondratiev, YG
    Röckner, M
    JOURNAL OF FUNCTIONAL ANALYSIS, 2001, 185 (01) : 129 - 154
  • [43] Continuous approximations of stochastic evolutionary game dynamics
    Corradi, V
    Sarin, R
    JOURNAL OF ECONOMIC THEORY, 2000, 94 (02) : 163 - 191
  • [44] Towards a characterisation of the behaviour of stochastic local search algorithms for SAT
    Hoos, HH
    Stützle, T
    ARTIFICIAL INTELLIGENCE, 1999, 112 (1-2) : 213 - 232
  • [45] Adaptive IIR phase equalizers based on stochastic search algorithms
    Pai, S
    Jenkins, WK
    Krusienski, DJ
    CONFERENCE RECORD OF THE THIRTY-SEVENTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2, 2003, : 652 - 656
  • [46] Stochastic Service Systems, Random Interval Graphs and Search Algorithms
    Eschenfeldt, Patrick
    Gross, Ben
    Pippenger, Nicholas
    RANDOM STRUCTURES & ALGORITHMS, 2014, 45 (03) : 421 - 442
  • [47] Reactive Stochastic local search algorithms for the genomic median problem
    Lenne, Renaud
    Solnon, Christine
    Stutzle, Thomas
    Tannier, Eric
    Birattari, Mauro
    EVOLUTIONARY COMPUTATION IN COMBINATORIAL OPTIMIZATION, PROCEEDINGS, 2008, 4972 : 266 - +
  • [48] Local Stochastic Differentiable Architecture Search for Memetic Neuroevolution Algorithms
    Karns, Joshua
    Desell, Travis
    PROCEEDINGS OF THE 2023 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION, GECCO 2023 COMPANION, 2023, : 2123 - 2127
  • [49] Stochastic Search-Based Neural Networks Learning Algorithms
    Nikolic, Konstantin P.
    Scepanovic, Ivan B.
    NEUREL 2008: NINTH SYMPOSIUM ON NEURAL NETWORK APPLICATIONS IN ELECTRICAL ENGINEERING, PROCEEDINGS, 2008, : 98 - 102
  • [50] On extremum principles and algorithms for shakedown analysis
    Federal Univ of Rio de Janeiro, Rio de Janeiro, Brazil
    Eur J Mech A Solids, 5 (757-778):