國立虎尾科技大學 |

Constraint Handling in Metaheuristics and Applications

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Constraint Handling in Metaheuristics and Applications/ edited by Anand J. Kulkarni, Efrén Mezura-Montes, Yong Wang, Amir H. Gandomi, Ganesh Krishnasamy.
other author:	Kulkarni, Anand J.
Description:	XXIX, 315 p. 79 illus., 64 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/978-981-33-6710-4
ISBN:	9789813367104

Constraint Handling in Metaheuristics and Applications
Constraint Handling in Metaheuristics and Applications[electronic resource] /edited by Anand J. Kulkarni, Efrén Mezura-Montes, Yong Wang, Amir H. Gandomi, Ganesh Krishnasamy. - 1st ed. 2021. - XXIX, 315 p. 79 illus., 64 illus. in color.online resource.

1. The Find-Fix-Finish-Exploit-Analyze (F3EA) meta-heuristic algorithm with an extended constraint handling technique for constrained optimization and engineering design -- An improved Cohort Intelligence with Panoptic Learning Behavior for solving constrained problems -- Nature-Inspired Metaheuristic Algorithms for Constraint Handling: Challenges, Issues and Research Perspective.

This book aims to discuss the core and underlying principles and analysis of the different constraint handling approaches. The main emphasis of the book is on providing an enriched literature on mathematical modelling of the test as well as real-world problems with constraints, and further development of generalized constraint handling techniques. These techniques may be incorporated in suitable metaheuristics providing a solid optimized solution to the problems and applications being addressed. The book comprises original contributions with an aim to develop and discuss generalized constraint handling approaches/techniques for the metaheuristics and/or the applications being addressed. A variety of novel as well as modified and hybridized techniques have been discussed in the book. The conceptual as well as the mathematical level in all the chapters is well within the grasp of the scientists as well as the undergraduate and graduate students from the engineering and computer science streams. The reader is encouraged to have basic knowledge of probability and mathematical analysis and optimization. The book also provides critical review of the contemporary constraint handling approaches. The contributions of the book may further help to explore new avenues leading towards multidisciplinary research discussions. This book is a complete reference for engineers, scientists, and students studying/working in the optimization, artificial intelligence (AI), or computational intelligence arena. .

ISBN: 9789813367104

Standard No.: 10.1007/978-981-33-6710-4doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Constraint Handling in Metaheuristics and Applications
LDR:03308nam a22003975i 4500 001 1051155
003 DE-He213
005 20210621150636.0
007 cr nn 008mamaa
008 220103s2021 si | s |||| 0|eng d
020 $a 9789813367104 $9 978-981-33-6710-4
024 7 $a 10.1007/978-981-33-6710-4 $2 doi
035 $a 978-981-33-6710-4
050 4 $a Q334-342
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Constraint Handling in Metaheuristics and Applications $h [electronic resource] / $c edited by Anand J. Kulkarni, Efrén Mezura-Montes, Yong Wang, Amir H. Gandomi, Ganesh Krishnasamy.
250 $a 1st ed. 2021.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a XXIX, 315 p. 79 illus., 64 illus. in color. $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
505 0 $a 1. The Find-Fix-Finish-Exploit-Analyze (F3EA) meta-heuristic algorithm with an extended constraint handling technique for constrained optimization and engineering design -- An improved Cohort Intelligence with Panoptic Learning Behavior for solving constrained problems -- Nature-Inspired Metaheuristic Algorithms for Constraint Handling: Challenges, Issues and Research Perspective.
520 $a This book aims to discuss the core and underlying principles and analysis of the different constraint handling approaches. The main emphasis of the book is on providing an enriched literature on mathematical modelling of the test as well as real-world problems with constraints, and further development of generalized constraint handling techniques. These techniques may be incorporated in suitable metaheuristics providing a solid optimized solution to the problems and applications being addressed. The book comprises original contributions with an aim to develop and discuss generalized constraint handling approaches/techniques for the metaheuristics and/or the applications being addressed. A variety of novel as well as modified and hybridized techniques have been discussed in the book. The conceptual as well as the mathematical level in all the chapters is well within the grasp of the scientists as well as the undergraduate and graduate students from the engineering and computer science streams. The reader is encouraged to have basic knowledge of probability and mathematical analysis and optimization. The book also provides critical review of the contemporary constraint handling approaches. The contributions of the book may further help to explore new avenues leading towards multidisciplinary research discussions. This book is a complete reference for engineers, scientists, and students studying/working in the optimization, artificial intelligence (AI), or computational intelligence arena. .
650 0 $a Artificial intelligence. $3 559380
650 0 $a Mathematical models. $3 527886
650 0 $a Computational intelligence. $3 568984
650 1 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 669172
650 2 4 $a Computational Intelligence. $3 768837
700 1 $a Kulkarni, Anand J. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1286023
700 1 $a Mezura-Montes, Efrén. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1355657
700 1 $a Wang, Yong. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1060989
700 1 $a Gandomi, Amir H. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1069152
700 1 $a Krishnasamy, Ganesh. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1247179
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789813367098
776 0 8 $i Printed edition: $z 9789813367111
776 0 8 $i Printed edition: $z 9789813367128
856 4 0 $u https://doi.org/10.1007/978-981-33-6710-4
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)