Pillay N., Qu R. Hyper-Heuristics. Theory and Applications

New York: Springer, 2018. — 130 p.Acronyms & Notations
Fundamentals & Theory
Low-Level Heuristics
Classification of Hyper-HeuristicsCase-Based Reasoning
Local Search Methods
Population-Based Methods
DiscussionHeuristic Selection Techniques
Move Acceptance Techniques
Multipoint Search Selection Perturbative Hyper-Heuristics
DiscussionAttributes and Representation of Low-Level Heuristics
Genetic Programming
Disposability vs Reusability
DiscussionCreating Algorithms and Meta-Heuristics
DiscussionA Formal Definition of Hyper-Heuristics
Two Search Spaces Within the Formal Hyper-Heuristic Framework
Fitness Landscape of the Heuristic Space in the Hyper-Heuristic Framework
A Graph-Based Selection Hyper-Heuristic (GHH) Framework
Analysis of Two Search Spaces in the GHH Framework
Performance Evaluation of GHH
Fitness Landscape Analysis on GHH
Discussion
Applications of Hyper-HeuristicsConstructive Low-Level Heuristics in Vehicle Routing Problems
Selection Hyper-Heuristics for Vehicle Routing Problems
Selection Hyper-Heuristics with Both Constructive and Perturbative Low-Level Heuristics
Generation Hyper-Heuristics for Vehicle Routing Problems
DiscussionLow-Level Heuristics for Nurse Rostering Problems
Selection Hyper-Heuristics for Nurse Rostering Problems
Discussion
Selection Constructive Hyper-Heuristics
Low-Level Constructive Heuristics for Bin Packing
Methods Employed by the Hyper-Heuristics
Generation Constructive Hyper-Heuristics
Discussion
Low-Level Constructive Heuristics for Examination Timetabling Problems
Low-Level Perturbative Heuristics for Examination Timetabling Problems
Selection Perturbative Hyper-Heuristics for Examination Timetabling Problems
Selection Constructive Hyper-Heuristics for Examination Timetabling Problems
Generation Hyper-Heuristics for Examination Timetabling Problems
Discussion
Cross-Domain Heuristic Search Challenge (CHeSC)
Finalists of CHeSC
Recent Approaches
Discussion
Past, Present & Future
Hybrid Hyper-Heuristics
Hyper-Heuristics for Automated Design
Automated Design of Hyper-Heuristics
Continuous Optimization
Discussion
Conclusions & future Research Directions
HyFlex & EvoHyp
HyFlex
GenProg
Accessing EvoHyp
Combinatorial Optimization Problems & Benchmarks
Two-Dimensional Bin Packing
Packing Benchmark Sets
Nurse Rostering Problem
The Nottingham Benchmark Nurse Rostering Dataset
Vehicle Routing Problems
Examination Timetabling Problems
Exam Timetabling Benchmark Datasets
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