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Iterative optimizersdifficulty measu...

Clerc, Maurice.

Iterative optimizersdifficulty measures and benchmarks /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Iterative optimizersMaurice Clerc.
Reminder of title:	difficulty measures and benchmarks /
Author:	Clerc, Maurice.
Published:	London :ISTE ;2019.
Description:	1 online resource :ill. (some col.)
Subject:	Mathematical optimization.
Online resource:	https://onlinelibrary.wiley.com/doi/book/10.1002/9781119612476
ISBN:	9781119612476$q(electronic bk. ;$qoBook)

Iterative optimizersdifficulty measures and benchmarks /
Clerc, Maurice.

Iterative optimizersdifficulty measures and benchmarks /[electronic resource] :Maurice Clerc. - 1st ed. - London :ISTE ;2019. - 1 online resource :ill. (some col.) - Computer engineering series. - Computer engineering series (London, England).

Includes bibliographical references and index.

Almost every month, a new optimization algorithm is proposed, often accompanied by the claim that it is superior to all those that came before it. However, this claim is generally based on the algorithm's performance on a specific set of test cases, which are not necessarily representative of the types of problems the algorithm will face in real life. This book presents the theoretical analysis and practical methods (along with source codes) necessary to estimate the difficulty of problems in a test set, as well as to build bespoke test sets consisting of problems with varied difficulties. The book formally establishes a typology of optimization problems, from which a reliable test set can be deduced. At the same time, it highlights how classic test sets are skewed in favor of different classes of problems, and how, as a result, optimizers that have performed well on test problems may perform poorly in real life scenarios.

ISBN: 9781119612476$q(electronic bk. ;$qoBook)Subjects--Topical Terms:

183292
Mathematical optimization.

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

Iterative optimizersdifficulty measures and benchmarks /
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100 1 $a Clerc, Maurice. $3 721905
245 1 0 $a Iterative optimizers $h [electronic resource] : $b difficulty measures and benchmarks / $c Maurice Clerc.
250 $a 1st ed.
260 $a London : $b ISTE ; $a Hoboken, NJ : $b John Wiley & Sons, $c 2019.
300 $a 1 online resource : $b ill. (some col.)
490 1 $a Computer engineering series
504 $a Includes bibliographical references and index.
520 $a Almost every month, a new optimization algorithm is proposed, often accompanied by the claim that it is superior to all those that came before it. However, this claim is generally based on the algorithm's performance on a specific set of test cases, which are not necessarily representative of the types of problems the algorithm will face in real life. This book presents the theoretical analysis and practical methods (along with source codes) necessary to estimate the difficulty of problems in a test set, as well as to build bespoke test sets consisting of problems with varied difficulties. The book formally establishes a typology of optimization problems, from which a reliable test set can be deduced. At the same time, it highlights how classic test sets are skewed in favor of different classes of problems, and how, as a result, optimizers that have performed well on test problems may perform poorly in real life scenarios.
588 $a Description based on print version record.
650 0 $a Mathematical optimization. $3 183292
830 0 $a Computer engineering series (London, England) $3 722579
856 4 0 $u https://onlinelibrary.wiley.com/doi/book/10.1002/9781119612476