Cohort Intelligence A Socio Inspired Optimization Method

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Cohort Intelligence: A Socio-inspired Optimization Method

Author : Anand Jayant Kulkarni,Ganesh Krishnasamy,Ajith Abraham
Publisher : Springer
Page : 134 pages
File Size : 52,9 Mb
Release : 2016-09-22
Category : Technology & Engineering
ISBN : 9783319442549

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Cohort Intelligence: A Socio-inspired Optimization Method by Anand Jayant Kulkarni,Ganesh Krishnasamy,Ajith Abraham Pdf

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.

Socio-Inspired Optimization Methods for Advanced Manufacturing Processes

Author : Apoorva Shastri,Aniket Nargundkar,Anand J. Kulkarni
Publisher : Springer Nature
Page : 134 pages
File Size : 41,8 Mb
Release : 2020-08-11
Category : Technology & Engineering
ISBN : 9789811577970

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Socio-Inspired Optimization Methods for Advanced Manufacturing Processes by Apoorva Shastri,Aniket Nargundkar,Anand J. Kulkarni Pdf

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.

Constraint Handling in Cohort Intelligence Algorithm

Author : Ishaan R. Kale,Anand J. Kulkarni
Publisher : CRC Press
Page : 206 pages
File Size : 51,5 Mb
Release : 2021-12-27
Category : Business & Economics
ISBN : 9781000520484

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Constraint Handling in Cohort Intelligence Algorithm by Ishaan R. Kale,Anand J. Kulkarni Pdf

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.

Constraint Handling in Cohort Intelligence Algorithm

Author : Ishaan R. Kale,Anand Jayant Kulkarni
Publisher : CRC Press
Page : 200 pages
File Size : 51,8 Mb
Release : 2021-12-26
Category : Business & Economics
ISBN : 100052051X

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Constraint Handling in Cohort Intelligence Algorithm by Ishaan R. Kale,Anand Jayant Kulkarni Pdf

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.

Socio-cultural Inspired Metaheuristics

Author : Anand J. Kulkarni,Pramod Kumar Singh,Suresh Chandra Satapathy,Ali Husseinzadeh Kashan,Kang Tai
Publisher : Springer
Page : 308 pages
File Size : 43,8 Mb
Release : 2019-03-29
Category : Technology & Engineering
ISBN : 9789811365690

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Socio-cultural Inspired Metaheuristics by Anand J. Kulkarni,Pramod Kumar Singh,Suresh Chandra Satapathy,Ali Husseinzadeh Kashan,Kang Tai Pdf

This book presents the latest insights and developments in the field of socio-cultural inspired algorithms. Akin to evolutionary and swarm-based optimization algorithms, socio-cultural algorithms belong to the category of metaheuristics (problem-independent computational methods) and are inspired by natural and social tendencies observed in humans by which they learn from one another through social interactions. This book is an interesting read for engineers, scientists, and students studying/working in the optimization, evolutionary computation, artificial intelligence (AI) and computational intelligence fields.

Optimization Models in Steganography Using Metaheuristics

Author : Dipti Kapoor Sarmah,Anand J. Kulkarni,Ajith Abraham
Publisher : Springer Nature
Page : 174 pages
File Size : 43,7 Mb
Release : 2020-02-25
Category : Technology & Engineering
ISBN : 9783030420444

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Optimization Models in Steganography Using Metaheuristics by Dipti Kapoor Sarmah,Anand J. Kulkarni,Ajith Abraham Pdf

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.

Theoretical, Modelling and Numerical Simulations Toward Industry 4.0

Author : Samsul Ariffin Abdul Karim
Publisher : Springer Nature
Page : 180 pages
File Size : 46,5 Mb
Release : 2020-11-17
Category : Technology & Engineering
ISBN : 9789811589874

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Theoretical, Modelling and Numerical Simulations Toward Industry 4.0 by Samsul Ariffin Abdul Karim Pdf

This book presents theoretical modeling and numerical simulations applied to drive several applications towards Industrial Revolution 4.0 (IR 4.0). The topics discussed range from theoretical parts to extensive simulations involving many efficient algorithms as well as various statistical techniques. This book is suitable for postgraduate students, researchers as well as other scientists who are working in mathematics, statistics and numerical modeling and simulation.

Intelligent Systems and Applications

Author : Anand J. Kulkarni,Seyedali Mirjalili,Siba Kumar Udgata
Publisher : Springer Nature
Page : 512 pages
File Size : 49,5 Mb
Release : 2022-12-27
Category : Technology & Engineering
ISBN : 9789811965814

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Intelligent Systems and Applications by Anand J. Kulkarni,Seyedali Mirjalili,Siba Kumar Udgata Pdf

This book comprises the proceedings of the International Conference on Intelligent Systems and Applications (ICISA 2022). The contents of this volume focus on novel and modified artificial intelligence and machine learning-based methods and their applications in robotics, pharmaceutics, banking & finance, agriculture, food processing, crime prevention, smart homes, transportation, traffic control, and wildlife conservation, etc. This volume will prove a valuable resource for those in academia and industry.

Intelligent Data Engineering and Analytics

Author : Suresh Chandra Satapathy,Yu-Dong Zhang,Vikrant Bhateja,Ritanjali Majhi
Publisher : Springer Nature
Page : 758 pages
File Size : 45,6 Mb
Release : 2020-08-29
Category : Technology & Engineering
ISBN : 9789811556791

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Intelligent Data Engineering and Analytics by Suresh Chandra Satapathy,Yu-Dong Zhang,Vikrant Bhateja,Ritanjali Majhi Pdf

This book gathers the proceedings of the 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), held at NIT Surathkal, Karnataka, India, on 4–5 January 2020. In these proceedings, researchers, scientists, engineers and practitioners share new ideas and lessons learned in the field of intelligent computing theories with prospective applications in various engineering disciplines. The respective papers cover broad areas of the information and decision sciences, and explore both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. Given its scope, the book offers a valuable resource for graduate students in various engineering disciplines.

Optimization Methods for Product and System Design

Author : Anand J. Kulkarni
Publisher : Springer Nature
Page : 266 pages
File Size : 46,9 Mb
Release : 2023-06-11
Category : Computers
ISBN : 9789819915217

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Optimization Methods for Product and System Design by Anand J. Kulkarni Pdf

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 associated with the resilience and sustainability of the existing systems.

Proceedings of the 2nd International Conference on Data Engineering and Communication Technology

Author : Anand J. Kulkarni,Suresh Chandra Satapathy,Tai Kang,Ali Husseinzadeh Kashan
Publisher : Springer
Page : 717 pages
File Size : 47,9 Mb
Release : 2018-10-03
Category : Technology & Engineering
ISBN : 9789811316104

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Proceedings of the 2nd International Conference on Data Engineering and Communication Technology by Anand J. Kulkarni,Suresh Chandra Satapathy,Tai Kang,Ali Husseinzadeh Kashan Pdf

This book features research work presented at the 2nd International Conference on Data Engineering and Communication Technology (ICDECT) held on December 15–16, 2017 at Symbiosis International University, Pune, Maharashtra, India. It discusses advanced, multi-disciplinary research into smart computing, information systems and electronic systems, focusing on innovation paradigms in system knowledge, intelligence and sustainability that can be applied to provide feasible solutions to varied problems in society, the environment and industry. It also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in a variety of disciplines of computer science and electronics engineering.

Optimization Methods for Structural Engineering

Author : Ishaan R. Kale,Ali Sadollah
Publisher : Springer Nature
Page : 233 pages
File Size : 54,9 Mb
Release : 2023-06-06
Category : Computers
ISBN : 9789819923786

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Optimization Methods for Structural Engineering by Ishaan R. Kale,Ali Sadollah Pdf

This contributed book focuses on optimization methods inspired by nature such as Harmony Search Algorithm, Drosophila Food-Search Algorithm, Cohort intelligence algorithm and its variations, fuzzy logic along with their hybridization variants. It also focuses on multi-objective optimization algorithms such as Non-Dominated Sorting Genetic Algorithm, Particle Swarm Optimization, Evolutionary Algorithm, Pareto Envelope Selection Algorithm, and Strength Pareto Evolutionary Algorithm. The content focuses on topics such as the optimal design of truss systems with various applications, the design and simulation of quarter car systems for comfort design, the road handling design and a balanced system, and topology optimization of 2-dimensional and 3-dimensional structure in linear elasticity, plasticity and fracture mechanics among others. This book is a useful reference for those in academia and industry.

Constraint Handling in Metaheuristics and Applications

Author : Anand J. Kulkarni,Efrén Mezura-Montes,Yong Wang,Amir H. Gandomi,Ganesh Krishnasamy
Publisher : Springer Nature
Page : 315 pages
File Size : 46,6 Mb
Release : 2021-04-12
Category : Computers
ISBN : 9789813367104

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Constraint Handling in Metaheuristics and Applications by Anand J. Kulkarni,Efrén Mezura-Montes,Yong Wang,Amir H. Gandomi,Ganesh Krishnasamy Pdf

This 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.

Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019)

Author : Chuanchao Huang,Yu-Wei Chan,Neil Yen
Publisher : Springer Nature
Page : 2059 pages
File Size : 51,9 Mb
Release : 2020-02-03
Category : Technology & Engineering
ISBN : 9789811514685

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Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019) by Chuanchao Huang,Yu-Wei Chan,Neil Yen Pdf

This book covers cutting-edge and advanced research on data processing techniques and applications for Cyber-Physical Systems. Gathering the proceedings of the International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019), held in Shanghai, China on November 15–16, 2019, it examines a wide range of topics, including: distributed processing for sensor data in CPS networks; approximate reasoning and pattern recognition for CPS networks; data platforms for efficient integration with CPS networks; and data security and privacy in CPS networks. Outlining promising future research directions, the book offers a valuable resource for students, researchers and professionals alike, while also providing a useful reference guide for newcomers to the field.

Exploring the Intersection of Artificial Intelligence and Journalism

Author : Santosh Kumar Biswal,Anand J. Kulkarni
Publisher : Taylor & Francis
Page : 311 pages
File Size : 45,7 Mb
Release : 2024-02-02
Category : Social Science
ISBN : 9781003857518

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Exploring the Intersection of Artificial Intelligence and Journalism by Santosh Kumar Biswal,Anand J. Kulkarni Pdf

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.