Go to main content

Matheuristics : algorithms and implementations / Vittorio Maniezzo, Marco Antonio Boschetti, Thomas Stützle.

Maniezzo, Vittorio, author.; Boschetti, Marco Antonio, author.; Stützle, Thomas, author.
2021
QA76.9.A43
Available Online
Formats
Format
BibTeX
MARCXML
TextMARC
MARC
DublinCore
EndNote
NLM
RefWorks
RIS
Add to Basket
Cite

Linked e-resources

Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks

Details

Title
Matheuristics : algorithms and implementations / Vittorio Maniezzo, Marco Antonio Boschetti, Thomas Stützle.
Author
Maniezzo, Vittorio, author.
ISBN
9783030702779 (electronic bk.)
3030702774 (electronic bk.)
3030702766
9783030702762
DOI
https://doi.org/10.1007/978-3-030-70277-9
Published
Cham, Switzerland : Springer, [2021]
Language
English
Description
1 online resource.
Item Number
10.1007/978-3-030-70277-9 doi
Call Number
QA76.9.A43
Dewey Decimal Classification
005.1
Summary
This book is the first comprehensive tutorial on matheuristics. Matheuristics are based on mathematical extensions of previously known heuristics, mainly metaheuristics, and on original, area-specific approaches. This tutorial provides a detailed discussion of both contributions, presenting the pseudocodes of over 40 algorithms, abundant literature references, and for each case a step-by-step description of a sample run on a common Generalized Assignment Problem example. C++ source codes of all algorithms are available in an associated SW repository.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed May 5, 2021).
Added Author
Boschetti, Marco Antonio, author.
Stützle, Thomas, author.
Series
EURO advanced tutorials on operational research.
Available in Other Form
Print version: 9783030702762
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
Part I: Contextual Issues
1. The Generalized Assignment Problem
2. Automatic Design for Matheuristics
Part II: Metaheuristic Hybrids
3. Single Solution Metaheuristics
4. Population-Based metaheuristics
Part III: Original Matheuristics
5. Diving Heuristics
6. Very Large-Scale Neighborhood Search
7. Decomposition Based Heuristics
8. Corridor Method
9. Kernel Search
10. Fore-and-Back.

Browse Subjects

Show more subjects...

Statistics

from
to
Export