國立虎尾科技大學 |

Handbook of Heuristics

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Handbook of Heuristics/ edited by Rafael Martí, Panos M. Pardalos, Mauricio G. C. Resende.
其他作者:	Martí, Rafael.
面頁冊數:	285 illus., 152 illus. in color. eReference.online resource. :
Contained By:	Springer Nature eReference
標題:	Algorithms. -
電子資源:	https://doi.org/10.1007/978-3-319-07124-4
ISBN:	9783319071244

Handbook of Heuristics
Handbook of Heuristics[electronic resource] /edited by Rafael Martí, Panos M. Pardalos, Mauricio G. C. Resende. - 1st ed. 2018. - 285 illus., 152 illus. in color. eReference.online resource.

Heuristics are strategies using readily accessible, loosely applicable information to control problem solving. Algorithms, for example, are a type of heuristic. By contrast, Metaheuristics are methods used to design Heuristics and may coordinate the usage of several Heuristics toward the formulation of a single method. GRASP (Greedy Randomized Adaptive Search Procedures) is an example of a Metaheuristic. To the layman, heuristics may be thought of as ‘rules of thumb’ but despite its imprecision, heuristics is a very rich field that refers to experience-based techniques for problem-solving, learning, and discovery. Any given solution/heuristic is not guaranteed to be optimal but heuristic methodologies are used to speed up the process of finding satisfactory solutions where optimal solutions are impractical. The introduction to this Handbook provides an overview of the history of Heuristics along with main issues regarding the methodologies covered. This is followed by Chapters containing various examples of local searches, search strategies and Metaheuristics, leading to an analyses of Heuristics and search algorithms. The reference concludes with numerous illustrations of the highly applicable nature and implementation of Heuristics in our daily life. Each chapter of this work includes an abstract/introduction with a short description of the methodology. Key words are also necessary as part of top-matter to each chapter to enable maximum search engine optimization. Next, chapters will include discussion of the adaptation of this methodology to solve a difficult optimization problem, and experiments on a set of representative problems.

ISBN: 9783319071244

Standard No.: 10.1007/978-3-319-07124-4doiSubjects--Topical Terms:

527865
Algorithms.

LC Class. No.: QA76.9.A43

Dewey Class. No.: 518.1

Handbook of Heuristics
LDR:03009nam a22003735i 4500 001 988176
003 DE-He213
005 20201108031921.0
007 cr nn 008mamaa
008 201225s2018 gw | s |||| 0|eng d
020 $a 9783319071244 $9 978-3-319-07124-4
024 7 $a 10.1007/978-3-319-07124-4 $2 doi
035 $a 978-3-319-07124-4
050 4 $a QA76.9.A43
072 7 $a PBKS $2 bicssc
072 7 $a COM051300 $2 bisacsh
072 7 $a PBKS $2 thema
082 0 4 $a 518.1 $2 23
245 1 0 $a Handbook of Heuristics $h [electronic resource] / $c edited by Rafael Martí, Panos M. Pardalos, Mauricio G. C. Resende.
250 $a 1st ed. 2018.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a 285 illus., 152 illus. in color. eReference. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
520 $a Heuristics are strategies using readily accessible, loosely applicable information to control problem solving. Algorithms, for example, are a type of heuristic. By contrast, Metaheuristics are methods used to design Heuristics and may coordinate the usage of several Heuristics toward the formulation of a single method. GRASP (Greedy Randomized Adaptive Search Procedures) is an example of a Metaheuristic. To the layman, heuristics may be thought of as ‘rules of thumb’ but despite its imprecision, heuristics is a very rich field that refers to experience-based techniques for problem-solving, learning, and discovery. Any given solution/heuristic is not guaranteed to be optimal but heuristic methodologies are used to speed up the process of finding satisfactory solutions where optimal solutions are impractical. The introduction to this Handbook provides an overview of the history of Heuristics along with main issues regarding the methodologies covered. This is followed by Chapters containing various examples of local searches, search strategies and Metaheuristics, leading to an analyses of Heuristics and search algorithms. The reference concludes with numerous illustrations of the highly applicable nature and implementation of Heuristics in our daily life. Each chapter of this work includes an abstract/introduction with a short description of the methodology. Key words are also necessary as part of top-matter to each chapter to enable maximum search engine optimization. Next, chapters will include discussion of the adaptation of this methodology to solve a difficult optimization problem, and experiments on a set of representative problems.
650 0 $a Algorithms. $3 527865
650 0 $a Mathematical optimization. $3 527675
650 0 $a Mathematical analysis. $3 527926
650 0 $a Analysis (Mathematics). $3 1253570
650 0 $a Applied mathematics. $3 1069907
650 0 $a Engineering mathematics. $3 562757
650 0 $a Computer science—Mathematics. $3 1253519
650 0 $a Computer software. $3 528062
650 2 4 $a Optimization. $3 669174
650 2 4 $a Analysis. $3 669490
650 2 4 $a Mathematical and Computational Engineering. $3 1139415
650 2 4 $a Math Applications in Computer Science. $3 669887
650 2 4 $a Mathematical Software. $3 672446
700 1 $a Martí, Rafael. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1280485
700 1 $a Pardalos, Panos M. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 669384
700 1 $a Resende, Mauricio G. C. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1208716
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eReference
776 0 8 $i Printed edition: $z 9783319071251
776 0 8 $i Printed edition: $z 9783319071237
856 4 0 $u https://doi.org/10.1007/978-3-319-07124-4
912 $a ZDB-2-SMA
912 $a ZDB-2-SXRC
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Reference Module Computer Science and Engineering (SpringerNature-43748)