EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link: https://ebookbell.com/faq

We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.

For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Mathematical Programming Solver Based on Local Search 1st edition Frédéric Gardi

Name: Mathematical Programming Solver Based on Local Search 1st edition Frédéric Gardi
SKU: BELL-5310758
Price: 31.00 USD
Availability: InStock
Rating: 5 (90 reviews)

SKU: BELL-5310758

$ 31.00 ~~$ 45.00~~ (-31%)

5.0

90 reviews

Mathematical Programming Solver Based on Local Search 1st edition Frédéric Gardi instant download after payment.

Publisher: Wiley-ISTE

File Extension: PDF

File size: 1.88 MB

Pages: 112

Author: Frédéric Gardi, Thierry Benoist, Julien Darlay, Bertrand Estellon, Romain Megel

ISBN: 9781848216860, 9781118966464, 9781118966471, 9781306958295, 1118966465, 1118966473, 1306958296, 1848216866

Language: English

Year: 2014

Edition: 1

Product desciption

Mathematical Programming Solver Based on Local Search 1st edition Frédéric Gardi by Frédéric Gardi, Thierry Benoist, Julien Darlay, Bertrand Estellon, Romain Megel 9781848216860, 9781118966464, 9781118966471, 9781306958295, 1118966465, 1118966473, 1306958296, 1848216866 instant download after payment.

This book covers local search for combinatorial optimization and its extension to mixed-variable optimization. Although not yet understood from the theoretical point of view, local search is the paradigm of choice for tackling large-scale real-life optimization problems. Today's end-users demand interactivity with decision support systems. For optimization software, this means obtaining good-quality solutions quickly. Fast iterative improvement methods, like local search, are suited to satisfying such needs. Here the authors show local search in a new light, in particular presenting a new kin.�
Abstract: This book covers local search for combinatorial optimization and its extension to mixed-variable optimization. Although not yet understood from the theoretical point of view, local search is the paradigm of choice for tackling large-scale real-life optimization problems. Today's end-users demand interactivity with decision support systems. For optimization software, this means obtaining good-quality solutions quickly. Fast iterative improvement methods, like local search, are suited to satisfying such needs. Here the authors show local search in a new light, in particular presenting a new kin