Hyper-heuristics: theory and applications
Pillay, Nelishia; Qu, Rong
This introduction to the field of hyper-heuristics presents the required foundations and tools and illustrates some of their applications. The authors organized the 13 chapters into three parts. The first, hyper-heuristic fundamentals and theory, provides an overview of selection constructive, selection perturbative, generation constructive and generation perturbative hyper-heuristics, and then a formal definition of hyper-heuristics. The chapters in the second part of the book examine applications of hyper-heuristics in vehicle routing, nurse rostering, packing and examination timetabling. The third part of the book presents advanced topics and then a summary of the field and future research directions. Finally the appendices offer details of the HyFlex framework and the EvoHyp toolkit, and then the definition, problem model and constraints for the most tested combinatorial optimization problems.
The book will be of value to graduate students, researchers, and practitioners.
|Book Type||Authored Book|
|Publication Date||Oct 15, 2018|
|Series Title||Natural Computing Series|
|Book Title||Natural Computing Series|
|APA6 Citation||Pillay, N., & Qu, R. (2018). Hyper-heuristics: theory and applications. Cham, Switzerland: Springer Nature. doi:10.1007/978-3-319-96514-7|
You might also like
A Multiobjective Computation Offloading Algorithm for Mobile Edge Computing
A Unified Framework of Graph-based Evolutionary Multitasking Hyper-heuristic
The General Combinatorial Optimisation Problem: Towards Automated Algorithm Design