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Fitness landscape analysis and visualisation can provide significant insights into problem instances and algorithm behaviour. The aim of the workshop is to encourage and promote the use of landscape analysis to improve search algorithms and their understanding. Examples include landscape analysis as a tool to inform the design of algorithms, landscape metrics for online adaptation of search strategies, mining landscape information to predict instance hardness and algorithm runtime. The workshop seeks to bring together researchers interested in landscape analysis and in exploiting problem structure to develop informed search strategies. The workshop provides a unique opportunity to present existing work, propose new ideas or put forward position statements.

征稿信息

重要日期

2016-06-06
初稿截稿日期

征稿范围

  • Evolvability and searchability characterisation

  • Exploiting problem structure

  • Exploratory landscape analysis

  • Fitness landscape analysis

  • Fitness landscape visualisation

  • Fitness landscape theory

  • Grey-box optimisation

  • Informed search strategies

  • Local optima networks

  • Multi-objective fitness landscapes

  • Performance and failure prediction

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重要日期
  • 会议日期

    09月17日

    2016

    09月18日

    2016

  • 06月06日 2016

    初稿截稿日期

  • 09月18日 2016

    注册截止日期

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