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020 _a9789813367104
024 7 _a10.1007/978-981-33-6710-4
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA76.9.A43
_b2021 EB
245 0 0 _aConstraint Handling in Metaheuristics and Applications
_cedited by Anand J Kulkarni, Efrén Mezura-Montes, Yong Wang, Amir H Gandomi, Ganesh Krishnasamy
250 _aFirst edition 2021
264 1 _aSingapore
_bSpringer International Publising
_c2021
300 _a1 recurso en línea (XXIX, 315 páginas)
_b79 ilustraciones, 64 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
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 3 _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.
988 _aSpringer_Computer_2021
650 7 _2embne
_9151819
_aAlgoritmos computacionales
700 1 _aKulkarni, Anand J
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMezura-Montes, Efrén
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aWang, Yong
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGandomi, Amir H
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKrishnasamy, Ganesh
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink
776 0 8 _iPrinted edition:
_z9789813367098
776 0 8 _iPrinted edition:
_z9789813367111
776 0 8 _iPrinted edition:
_z9789813367128
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-33-6710-4
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b05/2021
_dz
_ek
_zSI