Overview
- Editors:
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Anand J. Kulkarni
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Institute of Artificial Intelligence, Dr. Vishwanath Karad MIT World Peace University, Pune, India
- Covers advanced methodologies of optimization for product and system design
- Discusses real world in nature covering a wide variety of optimization methods
- Includes chapters from experts in this field that have proven background and elite publication record
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About this book
This edited book provides a platform to discuss the state-of-the-art developments associated with traditional and advanced single-/multi-objective criteria optimization methods for addressing problems of performance enhancement of the products and systems design. The book in detail discusses the core ideas, underlying principles, mathematical formulations, critical reviews and experimentations, and solutions to complex problems from within the domains such as mechanical engineering design and manufacturing, fault detection and diagnosis, control systems, financial systems, machine learning in medical image processing as well as problems from operations research domain. It will serve as a valuable reference to academicians and industry practitioners involved in improving the efficiency, cost, performance, and durability of the products and systems. The chapters in this book may further give impetus to explore new avenues leading towards multidisciplinary research discussions associatedwith the resilience and sustainability of the existing systems.
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Table of contents (13 chapters)
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Optimization in Engineering Design and Systems
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- Ali Husseinzadeh Kashan, Somayyeh Karimiyan, Sadra Khodaei Anaraki, Maryam Farahani
Pages 3-27
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- Ranjan Kumar, Kaushik Kumar
Pages 29-52
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- P. Sathishkumar, N. Selvaganesan
Pages 53-69
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- K. Vanchinathan, N. Selvaganesan
Pages 71-87
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- Vijaykumar Jatti, Vinaykumar Jatti, Pawandeep Dhall, Akshaykumar Patel
Pages 89-96
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- Jobin Jose, Tapano Kumar Hotta
Pages 97-106
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- Zhiyuan Wang, Seyed Reza Nabavi, Gade Pandu Rangaiah
Pages 107-138
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Optimization for Financial Systems
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Front Matter
Pages 139-139
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- Pranav Kulkarni, Aniket Nargundkar, Anand J. Kulkarni, Apoorva Shastri
Pages 141-155
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- Aayush P. Khandekar, Aniket Nargundkar, Anand J. Kulkarni, Apoorva Shastri
Pages 157-176
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- Ishan G. Gala, Aniket Nargundkar, Anand J. Kulkarni, Apoorva Shastri
Pages 177-190
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Optimization for Image Processing
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Front Matter
Pages 191-191
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- Alireza Balavand, Soheyla Pahlevani
Pages 193-216
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- Aditee Patil, Bhavana Tiple, Madhura Phatak
Pages 217-232
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Miscellaneous
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Front Matter
Pages 233-233
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- M. A. CosÃo-Léon, Anabel MartÃnez-Vargas, Misael Lopez-Sanchez, Viridiana Silva-RodrÃguez
Pages 235-259
Editors and Affiliations
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Institute of Artificial Intelligence, Dr. Vishwanath Karad MIT World Peace University, Pune, India
Anand J. Kulkarni
About the editor
Anand J Kulkarni holds a Ph.D. in Distributed Optimization from Nanyang Technological University, Singapore, an MS in Artificial Intelligence from the University of Regina, Canada, a Bachelor of Engineering from Shivaji University, India and a Diploma from the Board of Technical Education, Mumbai. He worked as a Research Fellow at Odette School of Business, University of Windsor, Canada. Anand worked with Symbiosis International University, Pune, India for over six years. He is currently working as a Professor and Associate Director of the Institute of Artificial Intelligence at MITWPU, Pune, India. His research interests include optimization algorithms, multi-objective optimization, continuous, discrete, and combinatorial optimization, swarm optimization, and self-organizing systems. Anand pioneered optimization methodologies such as Cohort Intelligence, Ideology Algorithm, Expectation Algorithm, and Socio Evolution & Learning Optimization Algorithm. Anand is the founder of Optimization and Agent Technology Research Lab and has published over 70 research papers in peer-reviewed reputed journals, chapters, and conferences along with 5 authored and 10 edited books. Anand is the lead series editor for Springer and Taylor & Francis as well as the editor of several Elsevier journals. He also writes on AI in several newspapers and magazines. Anand has delivered expert research talks in countries such as the USA, Canada, Singapore, Malaysia, India, and France.