Searching the Hyper-heuristic Design Space

被引:0
|
作者
Jerry Swan
John Woodward
Ender Özcan
Graham Kendall
Edmund Burke
机构
[1] University of Stirling,Computing Science and Mathematics, School of Natural Sciences
[2] University of Nottingham,School of Computer Science
来源
Cognitive Computation | 2014年 / 6卷
关键词
Hyper-heuristics; Metaheuristics; Optimization; Machine-learning; Blackboard architecture;
D O I
暂无
中图分类号
学科分类号
摘要
We extend a previous mathematical formulation of hyper-heuristics to reflect the emerging generalization of the concept. We show that this leads naturally to a recursive definition of hyper-heuristics and to a division of responsibility that is suggestive of a blackboard architecture, in which individual heuristics annotate a shared workspace with information that may also be exploited by other heuristics. Such a framework invites consideration of the kind of relaxations of the domain barrier that can be achieved without loss of generality. We give a concrete example of this architecture with an application to the 3-SAT domain that significantly improves on a related token-ring hyper-heuristic.
引用
收藏
页码:66 / 73
页数:7
相关论文
共 50 条
  • [31] Applying Copeland Voting to Design an Agent-Based Hyper-Heuristic
    de Carvalho, Vinicius Renan
    Sichman, Jaime Simao
    AAMAS'17: PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS, 2017, : 972 - 980
  • [32] A Grammatical Evolution based Hyper-Heuristic for the Automatic Design of Split Criteria
    Basgalupp, Marcia R.
    Barros, Rodrigo C.
    Barabasz, Tiago
    GECCO'14: PROCEEDINGS OF THE 2014 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, 2014, : 1311 - 1318
  • [33] Nested Markov chain hyper-heuristic (NMHH): a hybrid hyper-heuristic framework for single-objective continuous problems
    Bandi, Nandor
    Gasko, Noemi
    PEERJ COMPUTER SCIENCE, 2024, 10 : 1 - 20
  • [34] Simulated Annealing Hyper-Heuristic for a Shelf Space Allocation on Symmetrical Planograms Problem
    Czerniachowska, Kateryna
    Hernes, Marcin
    SYMMETRY-BASEL, 2021, 13 (07):
  • [35] Towards Multi-objective Optimization of Automatic Design Space Exploration for Computer Architecture through Hyper-heuristic
    Latif, Mustafa
    Ismail, Muhammad Ali
    ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2019, 9 (03) : 4292 - 4297
  • [36] Research on hyper-level of hyper-heuristic framework for MOTCP
    Guo, Junxia
    Wang, Rui
    Han, Jinjin
    Li, Zheng
    SOFTWARE TESTING VERIFICATION & RELIABILITY, 2023, 33 (08):
  • [37] A Hyper-Heuristic for the Orienteering Problem With Hotel Selection
    Toledo, Alan
    Riff, Maria-Cristina
    Neveu, Bertrand
    IEEE ACCESS, 2020, 8 : 1303 - 1313
  • [38] Hyper-heuristic Operator Selection and Acceptance Criteria
    Marshall, Richard J.
    Johnston, Mark
    Zhang, Mengjie
    EVOLUTIONARY COMPUTATION IN COMBINATORIAL OPTIMIZATION, EVOCOP 2015, 2015, 9026 : 99 - 113
  • [39] Guided operators for a hyper-heuristic genetic algorithm
    Han, LM
    Kendall, G
    AI 2003: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2003, 2903 : 807 - 820
  • [40] An Investigation of Hyper-Heuristic Approaches for Teeth Scheduling
    Winter, Felix
    Musliu, Nysret
    METAHEURISTICS, MIC 2022, 2023, 13838 : 274 - 289