Cohort Intelligence A Socio Inspired Optimization Method
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Cohort Intelligence A Socio Inspired Optimization Method
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Author : Anand Jayant Kulkarni
language : en
Publisher: Springer
Release Date : 2016-09-22
Cohort Intelligence A Socio Inspired Optimization Method written by Anand Jayant Kulkarni and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-22 with Technology & Engineering categories.
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
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Author : Apoorva Shastri
language : en
Publisher: Springer Nature
Release Date : 2020-08-11
Socio Inspired Optimization Methods For Advanced Manufacturing Processes written by Apoorva Shastri and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-11 with Technology & Engineering categories.
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
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Author : Ishaan R. Kale
language : en
Publisher: CRC Press
Release Date : 2021-12-26
Constraint Handling In Cohort Intelligence Algorithm written by Ishaan R. Kale and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-26 with Business & Economics categories.
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.
Optimization Methods For Structural Engineering
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Author : Ishaan R. Kale
language : en
Publisher: Springer Nature
Release Date : 2023-06-06
Optimization Methods For Structural Engineering written by Ishaan R. Kale and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-06 with Computers categories.
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.
Socio Cultural Inspired Metaheuristics
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Author : Anand J. Kulkarni
language : en
Publisher: Springer
Release Date : 2019-03-29
Socio Cultural Inspired Metaheuristics written by Anand J. Kulkarni and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-29 with Computers categories.
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 Methods For Product And System Design
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Author : Anand J. Kulkarni
language : en
Publisher: Springer Nature
Release Date : 2023-06-11
Optimization Methods For Product And System Design written by Anand J. Kulkarni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-11 with Computers categories.
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.
Data Processing Techniques And Applications For Cyber Physical Systems Dpta 2019
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Author : Chuanchao Huang
language : en
Publisher: Springer Nature
Release Date : 2020-02-03
Data Processing Techniques And Applications For Cyber Physical Systems Dpta 2019 written by Chuanchao Huang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-03 with Technology & Engineering categories.
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
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Author : Santosh Kumar Biswal
language : en
Publisher: Taylor & Francis
Release Date : 2024-02-02
Exploring The Intersection Of Artificial Intelligence And Journalism written by Santosh Kumar Biswal and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-02 with Social Science categories.
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.
Constraint Handling In Metaheuristics And Applications
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Author : Anand J. Kulkarni
language : en
Publisher: Springer Nature
Release Date : 2021-04-12
Constraint Handling In Metaheuristics And Applications written by Anand J. Kulkarni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-12 with Computers categories.
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.
Optimization Techniques For Sustainable Environment Under Uncertainty
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Author : Ritu Arora
language : en
Publisher: Springer Nature
Release Date : 2025-04-12
Optimization Techniques For Sustainable Environment Under Uncertainty written by Ritu Arora and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-12 with Science categories.
The book's objective is to develop mathematical structures that can be applied to real-life problems with sustainable goals. It focuses on the impact of sustainable living on social, economic, and environmental aspects, aiming to create optimization techniques that minimize emissions and maximize green energy. These optimization problems may include sustainable transport, cities, economic development, living, and tourism. The book brings together researchers, academics, and professionals from various fields to find optimal or satisfactory solutions for various environmentally friendly sustainable problems. It aims to achieve this not only with existing optimization techniques, but also with novel approaches such as lexicographic optimization, heuristic approaches, DEA, and genetic algorithms. The goal is to develop practical algorithms and methods applicable to these problems under uncertain circumstances and explore the potential for improving the efficiency of existing algorithms.