Anand J. Kulkarni's Books

Socio-Inspired Optimization Methods for Advanced Manufacturing Processes

By: Apoorva Shastri,Aniket Nargundkar,Anand J. Kulkarni

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Socio-Inspired Optimization Methods for Advanced Manufacturing Processes

By: Apoorva Shastri,Aniket Nargundkar,Anand J. Kulkarni

This book discusses comprehensively the advanced manufacturing processes, including illustrative examples of the processes, mathematical modeling, and the need to optimize associated parameter problems. In addition, it describes in detail the cohort intelligence methodology and its variants along with illustrations, to help readers gain a better understanding of the framework. The theoretical and statistical rigor is validated by comparing the solutions with evolutionary algorithms, simulation annealing, response surface methodology, the firefly algorithm, and experimental work. Lastly, the book critically reviews several socio-inspired optimization methods.

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Page Count

134

Publisher

Springer Nature

Published Date

ISBN 10

9811577978

ISBN 13

9789811577970

Constraint Handling in Cohort Intelligence Algorithm

By: Ishaan R. Kale,Anand J. Kulkarni

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Constraint Handling in Cohort Intelligence Algorithm

By: Ishaan R. Kale,Anand J. Kulkarni

Mechanical Engineering domain problems are generally complex, consisting of different design variables and constraints. These problems may not be solved using gradient-based optimization techniques. The stochastic nature-inspired optimization techniques have been proposed in this book to efficiently handle the complex problems. The nature-inspired algorithms are classified as bio-inspired, swarm, and physics/chemical-based algorithms. Socio-inspired is one of the subdomains of bio-inspired algorithms, and Cohort Intelligence (CI) models the social tendencies of learning candidates with an inherent goal to achieve the best possible position. In this book, CI is investigated by solving ten discrete variable truss structural problems, eleven mixed variable design engineering problems, seventeen linear and nonlinear constrained test problems and two real-world applications from manufacturing domain. Static Penalty Function (SPF) is also adopted to handle the linear and nonlinear constraints, and limitations in CI and SPF approaches are examined. Constraint Handling in Cohort Intelligence Algorithm is a valuable reference to practitioners working in the industry as well as to students and researchers in the area of optimization methods.

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Page Count

207

Publisher

CRC Press

Published Date

ISBN 10

100052048X

ISBN 13

9781000520484

Exploring the Intersection of Artificial Intelligence and Journalism

The Emergence of a New Journalistic Paradigm

By: Santosh Kumar Biswal,Anand J. Kulkarni

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Exploring the Intersection of Artificial Intelligence and Journalism

The Emergence of a New Journalistic Paradigm

By: Santosh Kumar Biswal,Anand J. Kulkarni

This book studies the role of Artificial Intelligence (AI) in journalism. It traces the origin, growth and development of the media and communication industry in the globalized world and discusses the implications of technologies such as Augmented Reality, Virtual Reality and Extended Reality which have helped foster a communication revolution across the globe. The volume discusses technology-centric media theories in the context of AI and examines if AI has been a boon or bane for data journalism. It also looks at artificial intelligence in beat reporting, and citizen journalism, and analyses the social-cultural implications of artificial intelligence driven journalism and the ethical concerns arising from it. An important contribution, this book will be indispensable for students and researchers of media studies, communication studies, journalism, social media, technology studies, and digital humanities. It will also be useful for media professionals.

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Page Count

311

Publisher

Taylor & Francis

Published Date

ISBN 10

1003857515

ISBN 13

9781003857518

Optimization Models in Steganography Using Metaheuristics

By: Dipti Kapoor Sarmah,Anand J. Kulkarni,Ajith Abraham

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Optimization Models in Steganography Using Metaheuristics

By: Dipti Kapoor Sarmah,Anand J. Kulkarni,Ajith Abraham

This book explores the use of a socio-inspired optimization algorithm (the Cohort Intelligence algorithm), along with Cognitive Computing and a Multi-Random Start Local Search optimization algorithm. One of the most important types of media used for steganography is the JPEG image. Considering four important aspects of steganography techniques – picture quality, high data-hiding capacity, secret text security and computational time – the book provides extensive information on four novel image-based steganography approaches that employ JPEG compression. Academics, scientists and engineers engaged in research, development and application of steganography techniques, optimization and data analytics will find the book’s comprehensive coverage an invaluable resource.

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Page Count

174

Publisher

Springer Nature

Published Date

ISBN 10

3030420442

ISBN 13

9783030420444

Cohort Intelligence: A Socio-inspired Optimization Method

By: Anand Jayant Kulkarni,Ganesh Krishnasamy,Ajith Abraham

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Cohort Intelligence: A Socio-inspired Optimization Method

By: Anand Jayant Kulkarni,Ganesh Krishnasamy,Ajith Abraham

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.

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Page Count

140

Publisher

Springer

Published Date

ISBN 10

3319442546

ISBN 13

9783319442549

Book's by Anand J. Kulkarni

Socio-Inspired Optimization Methods for Advanced Manufacturing Processes

Socio-Inspired Optimization Methods for Advanced Manufacturing Processes

Constraint Handling in Cohort Intelligence Algorithm

Constraint Handling in Cohort Intelligence Algorithm

Exploring the Intersection of Artificial Intelligence and Journalism

Exploring the Intersection of Artificial Intelligence and Journalism

Optimization Models in Steganography Using Metaheuristics

Optimization Models in Steganography Using Metaheuristics

Cohort Intelligence: A Socio-inspired Optimization Method

Cohort Intelligence: A Socio-inspired Optimization Method

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