
- 136 pages
- English
- PDF
- Available on iOS & Android
About this book
In the last few years, the society is witnessing ever-growing levels of complexity in the optimization paradigms lying at the core of different applications and processes. This augmented complexity has motivated the adoption of heuristic methods as a means to balance the Pareto trade-off between computational efficiency and the quality of the produced solutions to the problem at hand. The momentum gained by heuristics in practical applications spans further towards hyper-heuristics, which allow constructing ensembles of simple heuristics to handle efficiently several problems of a single class. In this context, this short book compiles selected applications of heuristics and hyper-heuristics for combinatorial optimization problems, including scheduling and other assorted application scenarios.
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Table of contents
- Heuristic and Hyperheuristics - Principles and Applications
- Contents
- Preface
- Section 1 Heuristics and Hyper-Heuristics
- Section 2 Scheduling Heuristics
- Section 3 Heuristic Techniques and Applications