FLEXIBLE SCHEDULING AND AFFECTIVE LEARNING

被引：1
|
作者：
HOOVER, KH [1 ]
机构：
[1] ARIZONA STATE UNIV,COLL EDUC,TEMPE,AZ
来源：
EDUCATIONAL RESEARCH | 1969年 / 12卷 / 01期
关键词：
D O I：
10.1080/0013188690120113
中图分类号：
G40 [教育学];
学科分类号：
040101 ; 120403 ;
摘要：
引用
收藏
页码：70 / 72
页数：3
相关论文
共 50 条
  • [1] Affective Social Learning serves as a quick and flexible complement to TTOM
    Clement, Fabrice
    Dukes, Daniel
    [J]. BEHAVIORAL AND BRAIN SCIENCES, 2020, 43
  • [2] Flexible flow shop scheduling with learning and forgetting effects
    Meghdari, A.
    Fazlollahtabar, S.
    Darband, H.
    [J]. Journal of Mechanical Engineering Research and Developments, 2015, 38 (02) : 116 - 125
  • [3] An inductive learning for scheduling random flexible manufacturing systems
    Jawahar, N
    Aravindan, P
    Ponnambalam, SG
    Raghavendra, LN
    [J]. FIRST INTERNATIONAL CONFERENCE ON OPERATIONS AND QUANTITATIVE MANAGEMENT, VOL 1 AND 2, 1997, : 411 - 418
  • [4] Learning Strategies on Scheduling Heuristics of Genetic Programming in Dynamic Flexible Job Shop Scheduling
    Zhang, Fangfang
    Mei, Yi
    Nguyen, Su
    Zhang, Mengjie
    [J]. 2022 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2022,
  • [5] LEARNING-BASED SCHEDULING IN A FLEXIBLE MANUFACTURING FLOW LINE
    PIRAMUTHU, S
    RAMAN, N
    SHAW, MJ
    [J]. IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 1994, 41 (02) : 172 - 182
  • [6] Deep reinforcement learning for dynamic scheduling of a flexible job shop
    Liu, Renke
    Piplani, Rajesh
    Toro, Carlos
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2022, 60 (13) : 4049 - 4069
  • [7] A review of machine learning in dynamic scheduling of flexible manufacturing systems
    Priore, P
    De La Fuente, D
    Gomez, A
    Puente, J
    [J]. AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING, 2001, 15 (03): : 251 - 263
  • [8] Flexible Resource Constrained Flow Shop Scheduling with Learning Effect
    Huang Minmei
    [J]. EBM 2010: INTERNATIONAL CONFERENCE ON ENGINEERING AND BUSINESS MANAGEMENT, VOLS 1-8, 2010, : 714 - 717
  • [9] The Multiple Objectives Flexible Jobshop Scheduling Using Reinforcement Learning
    Khuntiyaporn, Thanaphut
    Songmuang, Pokpong
    Limprasert, Wasit
    [J]. 16TH INTERNATIONAL JOINT SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND NATURAL LANGUAGE PROCESSING (ISAI-NLP 2021), 2021,
  • [10] Dynamic scheduling of flexible manufacturing systems through machine learning: An analysis of the main scheduling systems
    Priore, Paolo
    De, La Fuente, David
    Puente, Javier
    Gomez, Alberto
    [J]. Questiio, 2001, 25 (03): : 523 - 549
12345