Design of Heuristic Algorithms for Hard Optimization is popular PDF and ePub book, written by Éric D. Taillard in 2022-10-29, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Design of Heuristic Algorithms for Hard Optimization can be Read Online from any device for your convenience.
Design of Heuristic Algorithms for Hard Optimization Book PDF Summary
This open access book demonstrates all the steps required to design heuristic algorithms for difficult optimization. The classic problem of the travelling salesman is used as a common thread to illustrate all the techniques discussed. This problem is ideal for introducing readers to the subject because it is very intuitive and its solutions can be graphically represented. The book features a wealth of illustrations that allow the concepts to be understood at a glance. The book approaches the main metaheuristics from a new angle, deconstructing them into a few key concepts presented in separate chapters: construction, improvement, decomposition, randomization and learning methods. Each metaheuristic can then be presented in simplified form as a combination of these concepts. This approach avoids giving the impression that metaheuristics is a non-formal discipline, a kind of cloud sculpture. Moreover, it provides concrete applications of the travelling salesman problem, which illustrate in just a few lines of code how to design a new heuristic and remove all ambiguities left by a general framework. Two chapters reviewing the basics of combinatorial optimization and complexity theory make the book self-contained. As such, even readers with a very limited background in the field will be able to follow all the content.
Detail Book of Design of Heuristic Algorithms for Hard Optimization PDF
- Author : Éric D. Taillard
- Release : 29 October 2022
- Publisher : Springer Nature
- ISBN : 9783031137143
- Genre : Business & Economics
- Total Page : 293 pages
- Language : English
- PDF File Size : 16,9 Mb
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