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Design of Heuristic Algorithms for Hard Optimization - With Python Codes for the Travelling Salesman Problem (Hardcover, 1st ed. 2023) Loot Price: R1,678
Discovery Miles 16 780
Design of Heuristic Algorithms for Hard Optimization - With Python Codes for the Travelling Salesman Problem (Hardcover, 1st...

Design of Heuristic Algorithms for Hard Optimization - With Python Codes for the Travelling Salesman Problem (Hardcover, 1st ed. 2023)

Eric D. Taillard

Series: Graduate Texts in Operations Research

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Loot Price R1,678 Discovery Miles 16 780 | Repayment Terms: R157 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Graduate Texts in Operations Research
Release date: November 2022
First published: 2023
Authors: Eric D. Taillard
Dimensions: 235 x 155 x 24mm (L x W x T)
Format: Hardcover
Pages: 287
Edition: 1st ed. 2023
ISBN-13: 978-3-03-113713-6
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Science & Mathematics > Mathematics > Optimization > General
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-03-113713-2
Barcode: 9783031137136

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