Cohort intelligence : a socio-inspired optimization method

This Volume discusses the underlying principles and analysis of the different concepts associated with an emerging socio-inspired optimization tool referred to as Cohort Intelligence (CI). CI algorithms have been coded in Matlab and are freely available from the link provided inside the book. The bo...

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Bibliographic Details
Main Authors: Kulkarni, Anand Jayant, (Author), Krishnasamy, Ganesh, (Author), Abraham, Ajith, 1968- (Author)
Format: eBook
Language: English
Published: Cham, Switzerland : Springer, 2017.
Series: Intelligent systems reference library ; v. 114.
Subjects:
Computational intelligence.
Combinatorial optimization.
elektronické knihy
electronic books
ISBN: 9783319442549
9783319442532
Physical Description: 1 online resource (xi, 134 pages) : illustrations

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Table of contents

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100 1 |a Kulkarni, Anand Jayant,  |e author. 
245 1 0 |a Cohort intelligence :  |b a socio-inspired optimization method /  |c Anand Jayant Kulkarni, Ganesh Krishnasamy, Ajith Abraham. 
264 1 |a Cham, Switzerland :  |b Springer,  |c 2017. 
300 |a 1 online resource (xi, 134 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Intelligent systems reference library,  |x 1868-4394 ;  |v volume 114 
504 |a Includes bibliographical references. 
505 0 |a Introduction To Optimization -- Socio-Inspired Optimization Using Cohort Intelligence -- Cohort Intelligence For Constrained Test Problems -- Modified Cohort Intelligence For Solving Machine Learning Problems -- Solution To 0-1 Knapsack Problem Using Cohort Intelligence Algorithm -- Cohort Intelligence For Solving Travelling Salesman Problems -- Solution To A New Variant Of The Assignment Problem Using Cohort Intelligence Algorithm -- Solution To Sea Cargo Mix (Scm) Problem Using Cohort Intelligence Algorithm -- Solution To The Selection Of Cross-Border Shippers (Scbs) Problem -- Conclusions And Future Directions. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a This Volume discusses the underlying principles and analysis of the different concepts associated with an emerging socio-inspired optimization tool referred to as Cohort Intelligence (CI). CI algorithms have been coded in Matlab and are freely available from the link provided inside the book. The book demonstrates the ability of CI methodology for solving combinatorial problems such as Traveling Salesman Problem and Knapsack Problem in addition to real world applications from the healthcare, inventory, supply chain optimization and Cross-Border transportation. The inherent ability of handling constraints based on probability distribution is also revealed and proved using these problems. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Computational intelligence. 
650 0 |a Combinatorial optimization. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Krishnasamy, Ganesh,  |e author. 
700 1 |a Abraham, Ajith,  |d 1968-  |e author. 
776 0 8 |i Print version:  |t Cohort Intelligence.  |d [Place of publication not identified] : Springer-Verlag New York Inc 2016  |z 9783319442532  |w (OCoLC)953709002 
830 0 |a Intelligent systems reference library ;  |v v. 114. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-44254-9  |y Plný text 
992 |c NTK-SpringerENG 
999 |c 99382  |d 99382 
993 |x NEPOSILAT  |y EIZ 

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