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Cohort Intelligence: A Socio-inspired Optimization Method free ebook download

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Algorithms

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Catalogue

Author(s):	Anand Jayant Kulkarni

Date:	2017	Format:	PDF	Language:	English	ISBN/ASIN:	3319442538
Pages:	1	OCR:		Quality:		ISBN13:
Uploader:	eternal	Upload Date:	7/27/2020 6:59:57 PM

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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.Chapters are written by researchers from around the world, bringing perspectives from diverse fields and subject areas. The respective authors describe their work, their research, and their learning. Topics include semantic web for cultural heritage valorization, machine learning for parody detection by classification, psychological text analysis, crowdsourcing imagery coding in natural disasters, and creating inheritable digital codebooks.Designed for researchers and academics, this book is suitable for those interested in methodologies and analytics that can be applied in literature, history, philosophy, linguistics, and related disciplines. Professionals such as librarians, archivists, and historians will also find the content informative and instructive.

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	Title	Link	Password	Size (MB)	Thank to	Inform Admin
2833798	Book	https://tezfiles.com/file/da0c3bf70cb08...		3.69	eternal

Tags: Cohort Intelligence Method Optimization Socio-inspired

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Cohort Intelligence: A Socio-inspired Optimization Method free ebook download

Category: Algorithms

Description: Click to see full description

Category:
Algorithms