Handbook of heuristics /

Saved in:
Bibliographic Details
Imprint:Cham, Switzerland : Springer, 2018.
Description:1 online resource : illustrations (some color)
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11690375
Hidden Bibliographic Details
Other authors / contributors:Martí, Rafael (Rafael Cunquero), editor.
Pardalos, P. M. (Panos M.), 1954- editor.
Resende, Mauricio G. C., 1955- editor.
ISBN:9783319071244
3319071246
9783319071251
3319071254
9783319071237
3319071254
Notes:Includes index.
Online resource; title from PDF title page (SpringerLink, viewed August 22, 2018).
Summary: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.--
Other form:Print version: Handbook of heuristics. Cham, Switzerland : Springer, 2018 3319071254 9783319071251
Standard no.:10.1007/978-3-319-07124-4

MARC

LEADER 00000cam a2200000Ii 4500
001 11690375
005 20210625185214.3
006 m o d
007 cr cnu|||unuuu
008 180822s2018 sz a of 001 0 eng d
019 |a 1050659801 
020 |a 9783319071244  |q (electronic bk.) 
020 |a 3319071246  |q (electronic bk.) 
020 |a 9783319071251  |q (print and electronic bundle) 
020 |a 3319071254  |q (print and electronic bundle) 
020 |z 9783319071237  |q (print) 
020 |z 3319071254 
024 7 |a 10.1007/978-3-319-07124-4  |2 doi 
035 |a (OCoLC)1049171622  |z (OCoLC)1050659801 
035 9 |a (OCLCCM-CC)1049171622 
040 |a GW5XE  |b eng  |e rda  |e pn  |c GW5XE  |d FIE  |d OCLCF  |d YDX  |d UAB  |d UPM  |d STF  |d LVT  |d U3W  |d VT2  |d CAUOI  |d LEAUB  |d MERER  |d OCLCQ  |d EBLCP 
049 |a MAIN 
050 4 |a QA76.9.A43 
245 0 0 |a Handbook of heuristics /  |c Rafael Martí, Panos M. Pardalos, Mauricio G.C. Resende, editors. 
264 1 |a Cham, Switzerland :  |b Springer,  |c 2018. 
300 |a 1 online resource :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a Includes index. 
588 0 |a Online resource; title from PDF title page (SpringerLink, viewed August 22, 2018). 
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.--  |c Provided by publisher. 
650 0 |a Heuristic algorithms  |v Handbooks, manuals, etc. 
650 0 |a Algorithms  |v Handbooks, manuals, etc. 
650 7 |a Algorithms.  |2 fast  |0 (OCoLC)fst00805020 
650 7 |a Heuristic algorithms.  |2 fast  |0 (OCoLC)fst01749726 
655 0 |a Electronic books. 
655 4 |a Electronic books. 
655 7 |a Handbooks and manuals.  |2 fast  |0 (OCoLC)fst01423877 
700 1 |a Martí, Rafael  |q (Rafael Cunquero),  |e editor.  |0 http://id.loc.gov/authorities/names/n2002154370 
700 1 |a Pardalos, P. M.  |q (Panos M.),  |d 1954-  |e editor.  |0 http://id.loc.gov/authorities/names/n87923409 
700 1 |a Resende, Mauricio G. C.,  |d 1955-  |e editor.  |0 http://id.loc.gov/authorities/names/n95036197 
776 0 8 |i Print version:  |t Handbook of heuristics.  |d Cham, Switzerland : Springer, 2018  |z 3319071254  |z 9783319071251  |w (OCoLC)902762265 
903 |a HeVa 
929 |a oclccm 
999 f f |i 1cb4bb35-0910-5c9c-bc82-7cf683cfd321  |s a9627b47-8a82-50e0-8603-73b3f006d8a1 
928 |t Library of Congress classification  |a QA76.9.A43  |l Online  |c UC-FullText  |u https://link.springer.com/10.1007/978-3-319-07124-4  |z Springer Nature  |g ebooks  |i 12556234