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Mathematical programming solver base...

Gardi, Frédéric.

Mathematical programming solver based on local search

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Mathematical programming solver based on local searchFrédéric Gardi ... [et al.].
其他作者:	Gardi, Frédéric.
出版者:	London :ISTE Ltd. ;c2014.
面頁冊數:	1 online resource.
標題:	Mathematical optimization.
電子資源:	http://onlinelibrary.wiley.com/book/10.1002/9781118966464
ISBN:	9781118966471$q(electronic bk.)

Mathematical programming solver based on local search
Mathematical programming solver based on local search[electronic resource] /Frédéric Gardi ... [et al.]. - London :ISTE Ltd. ;c2014. - 1 online resource.

Includes bibliographical references and index.

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.

ISBN: 9781118966471$q(electronic bk.)Subjects--Topical Terms:

183292
Mathematical optimization.

LC Class. No.: T57.7

Dewey Class. No.: 519.7

Mathematical programming solver based on local search
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245 0 0 $a Mathematical programming solver based on local search $h [electronic resource] / $c Frédéric Gardi ... [et al.].
260 $a London : $b ISTE Ltd. ; $a Hoboken : $b Wiley, $c c2014.
300 $a 1 online resource.
504 $a Includes bibliographical references and index.
520 $a 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.
588 0 $a Print version record.
650 0 $a Mathematical optimization. $3 183292
700 1 $a Gardi, Frédéric. $3 722911
856 4 0 $u http://onlinelibrary.wiley.com/book/10.1002/9781118966464