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020 _a9789813367104
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024 7 _a10.1007/978-981-33-6710-4
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aConstraint Handling in Metaheuristics and Applications
_h[electronic resource] /
_cedited by Anand J. Kulkarni, Efrén Mezura-Montes, Yong Wang, Amir H. Gandomi, Ganesh Krishnasamy.
250 _a1st ed. 2021.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2021.
300 _aXXIX, 315 p. 79 illus., 64 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _a1. 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 _aThis 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 _aArtificial intelligence.
650 0 _aMathematical models.
650 0 _aComputational intelligence.
650 1 4 _aArtificial Intelligence.
650 2 4 _aMathematical Modeling and Industrial Mathematics.
650 2 4 _aComputational Intelligence.
700 1 _aKulkarni, Anand J.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMezura-Montes, Efrén.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aWang, Yong.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGandomi, Amir H.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKrishnasamy, Ganesh.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789813367098
776 0 8 _iPrinted edition:
_z9789813367111
776 0 8 _iPrinted edition:
_z9789813367128
856 4 0 _uhttps://doi.org/10.1007/978-981-33-6710-4
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c177191
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