启发式
启发式
选择(遗传算法)
计算机科学
超启发式
集合(抽象数据类型)
机器学习
人工智能
移动机器人
机器人
操作系统
机器人学习
程序设计语言
作者
Edmund Burke,Matthew R. Hyde,Graham Kendall,Gabriela Ochoa,Ender Özcan,John R. Woodward
出处
期刊:International series in management science/operations research
日期:2018-09-20
卷期号:: 453-477
被引量:137
标识
DOI:10.1007/978-3-319-91086-4_14
摘要
Hyper-heuristics comprise a set of approaches that aim to automate the development of computational search methodologies. This chapter overviews previous categorisations of hyper-heuristics and provides a unified classification and definition. We distinguish between two main hyper-heuristic categories: heuristic selection and heuristic generation. Some representative examples of each category are discussed in detail and recent research trends are highlighted.
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