東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Handbook of heuristics

Martí, Rafael.

FindBook

Google Book

Amazon

博客來

Handbook of heuristics

紀錄類型:	書目-電子資源 : 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.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xxv, 1892 p. :ill. (some col.), digital ;24 cm.
內容註:	Adaptive and Multi-Level Metaheuristics -- Biased Random-Key Genetic Programming -- Data Mining in Heuristics -- Deep Learning in Search Heuristics -- Evolution Strategies -- Evolutionary Algorithms -- Innovative Applications of Metaheuristics to Supervised Machine Learning -- Matheuristics by Examples -- Multi-start Methods -- Multiobjective Optimization -- Quantum-Inspired Heuristics -- Restart Strategies -- Simheuristics -- The Hybrid Metaheuristic CMSA -- Constraint-Based Local Search -- Guided Local Search -- Theory of Local Search.
Contained By:	Springer Nature eReference
標題:	Heuristic algorithms - Handbooks, manuals, etc. -
電子資源:	https://doi.org/10.1007/978-3-032-00385-0
ISBN:	9783032003850

Handbook of heuristics
Handbook of heuristics[electronic resource] /edited by Rafael Martí, Panos M. Pardalos, Mauricio G.C. Resende. - Second edition. - Cham :Springer Nature Switzerland :2025. - xxv, 1892 p. :ill. (some col.), digital ;24 cm.

Adaptive and Multi-Level Metaheuristics -- Biased Random-Key Genetic Programming -- Data Mining in Heuristics -- Deep Learning in Search Heuristics -- Evolution Strategies -- Evolutionary Algorithms -- Innovative Applications of Metaheuristics to Supervised Machine Learning -- Matheuristics by Examples -- Multi-start Methods -- Multiobjective Optimization -- Quantum-Inspired Heuristics -- Restart Strategies -- Simheuristics -- The Hybrid Metaheuristic CMSA -- Constraint-Based Local Search -- Guided Local Search -- Theory of Local Search.

The handbook of heuristics consists of five main parts: search strategies, local search, metaheuristics, analysis and implementations, and applications. They cover from search methods and methodological aspects, such as matheuristics, the exciting field in which mathematical programming is combined with heuristics, to applications that provide the practitioner with a description of some relevant optimization issues in a number of specific application areas, such as scheduling, vehicle routing, or network optimization. The first edition of the Handbook of Heuristics was published in 2018 and contained 47 chapters. In this second edition, the authors revised 30 of them to include new developments in the area that appeared in the last few years. In particular, the reader may find 14 chapters in search strategies, including a new chapter on deep learning, 4 in local search, 14 in metaheuristics, 5 in analysis and implementations, and 24 in applications. The inclusion of 14 new chapters makes this second edition even more comprehensive, totaling 61 chapters.

ISBN: 9783032003850

Standard No.: 10.1007/978-3-032-00385-0doiSubjects--Topical Terms:

3803172
Heuristic algorithms
--Handbooks, manuals, etc.

LC Class. No.: QA76.9.A43

Dewey Class. No.: 518.1

Handbook of heuristics
LDR:02744nmm a2200349 a 4500 001 2421813
003 DE-He213
005 20251103083430.0
006 m d
007 cr nn 008maaau
008 260505s2025 sz s 0 eng d
020 $a 9783032003850 $q (electronic bk.)
020 $a 9783032003843 $q (paper)
024 7 $a 10.1007/978-3-032-00385-0 $2 doi
035 $a 978-3-032-00385-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.A43
072 7 $a UMB $2 bicssc
072 7 $a COM051300 $2 bisacsh
072 7 $a UMB $2 thema
082 0 4 $a 518.1 $2 23
090 $a QA76.9.A43 $b H236 2025
245 0 0 $a Handbook of heuristics $h [electronic resource] / $c edited by Rafael Martí, Panos M. Pardalos, Mauricio G.C. Resende.
250 $a Second edition.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xxv, 1892 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Adaptive and Multi-Level Metaheuristics -- Biased Random-Key Genetic Programming -- Data Mining in Heuristics -- Deep Learning in Search Heuristics -- Evolution Strategies -- Evolutionary Algorithms -- Innovative Applications of Metaheuristics to Supervised Machine Learning -- Matheuristics by Examples -- Multi-start Methods -- Multiobjective Optimization -- Quantum-Inspired Heuristics -- Restart Strategies -- Simheuristics -- The Hybrid Metaheuristic CMSA -- Constraint-Based Local Search -- Guided Local Search -- Theory of Local Search.
520 $a The handbook of heuristics consists of five main parts: search strategies, local search, metaheuristics, analysis and implementations, and applications. They cover from search methods and methodological aspects, such as matheuristics, the exciting field in which mathematical programming is combined with heuristics, to applications that provide the practitioner with a description of some relevant optimization issues in a number of specific application areas, such as scheduling, vehicle routing, or network optimization. The first edition of the Handbook of Heuristics was published in 2018 and contained 47 chapters. In this second edition, the authors revised 30 of them to include new developments in the area that appeared in the last few years. In particular, the reader may find 14 chapters in search strategies, including a new chapter on deep learning, 4 in local search, 14 in metaheuristics, 5 in analysis and implementations, and 24 in applications. The inclusion of 14 new chapters makes this second edition even more comprehensive, totaling 61 chapters.
650 0 $a Heuristic algorithms $v Handbooks, manuals, etc. $3 3803172
650 0 $a Algorithms $v Handbooks, manuals, etc. $3 3803173
650 1 4 $a Algorithms. $3 536374
650 2 4 $a Optimization. $3 891104
650 2 4 $a Analysis. $3 891106
650 2 4 $a Mathematical and Computational Engineering Applications. $3 3592737
650 2 4 $a Mathematical Applications in Computer Science. $3 1567978
650 2 4 $a Mathematical Software. $3 897499
700 1 $a Martí, Rafael. $3 3803171
700 1 $a Pardalos, P. M. $3 3593341
700 1 $a Resende, Mauricio G.C. $3 3166859
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eReference
856 4 0 $u https://doi.org/10.1007/978-3-032-00385-0
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Reference Module Computer Science and Engineering (SpringerNature-43748)