Socio Cultural Inspired Metaheuristics

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Socio-cultural Inspired Metaheuristics

Author : Anand J. Kulkarni
Publisher : Springer
ISBN 13 : 9811365695
Total Pages : 308 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Socio-cultural Inspired Metaheuristics by : Anand J. Kulkarni

Download or read book Socio-cultural Inspired Metaheuristics written by Anand J. Kulkarni and published by Springer. This book was released on 2019-03-29 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Socio-cultural Inspired Metaheuristics

Author : Anand Jayant Kulkarni
Publisher :
ISBN 13 : 9789811365706
Total Pages : 303 pages
Book Rating : 4.3/5 (657 download)

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Book Synopsis Socio-cultural Inspired Metaheuristics by : Anand Jayant Kulkarni

Download or read book Socio-cultural Inspired Metaheuristics written by Anand Jayant Kulkarni and published by . This book was released on 2019 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Publisher : Springer Nature
ISBN 13 : 3030420442
Total Pages : 174 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Optimization Models in Steganography Using Metaheuristics by : Dipti Kapoor Sarmah

Download or read book Optimization Models in Steganography Using Metaheuristics written by Dipti Kapoor Sarmah and published by Springer Nature. This book was released on 2020-02-25 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Socio-Inspired Optimization Methods for Advanced Manufacturing Processes

Author : Apoorva Shastri
Publisher : Springer Nature
ISBN 13 : 9811577978
Total Pages : 134 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Socio-Inspired Optimization Methods for Advanced Manufacturing Processes by : Apoorva Shastri

Download or read book Socio-Inspired Optimization Methods for Advanced Manufacturing Processes written by Apoorva Shastri and published by Springer Nature. This book was released on 2020-08-11 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Science and Its Applications – ICCSA 2020

Author : Osvaldo Gervasi
Publisher : Springer Nature
ISBN 13 : 3030588173
Total Pages : 1067 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Computational Science and Its Applications – ICCSA 2020 by : Osvaldo Gervasi

Download or read book Computational Science and Its Applications – ICCSA 2020 written by Osvaldo Gervasi and published by Springer Nature. This book was released on 2020-09-29 with total page 1067 pages. Available in PDF, EPUB and Kindle. Book excerpt: The seven volumes LNCS 12249-12255 constitute the refereed proceedings of the 20th International Conference on Computational Science and Its Applications, ICCSA 2020, held in Cagliari, Italy, in July 2020. Due to COVID-19 pandemic the conference was organized in an online event. Computational Science is the main pillar of most of the present research, industrial and commercial applications, and plays a unique role in exploiting ICT innovative technologies. The 466 full papers and 32 short papers presented were carefully reviewed and selected from 1450 submissions. Apart from the general track, ICCSA 2020 also include 52 workshops, in various areas of computational sciences, ranging from computational science technologies, to specific areas of computational sciences, such as software engineering, security, machine learning and artificial intelligence, blockchain technologies, and of applications in many fields.

Intelligent Data Engineering and Analytics

Author : Suresh Chandra Satapathy
Publisher : Springer Nature
ISBN 13 : 9811556792
Total Pages : 758 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Intelligent Data Engineering and Analytics by : Suresh Chandra Satapathy

Download or read book Intelligent Data Engineering and Analytics written by Suresh Chandra Satapathy and published by Springer Nature. This book was released on 2020-08-29 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
ISBN 13 : 981991521X
Total Pages : 266 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Optimization Methods for Product and System Design by : Anand J. Kulkarni

Download or read book Optimization Methods for Product and System Design written by Anand J. Kulkarni and published by Springer Nature. This book was released on 2023-06-11 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook of AI-based Metaheuristics

Author : Anand J. Kulkarni
Publisher : CRC Press
ISBN 13 : 1000434257
Total Pages : 584 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Handbook of AI-based Metaheuristics by : Anand J. Kulkarni

Download or read book Handbook of AI-based Metaheuristics written by Anand J. Kulkarni and published by CRC Press. This book was released on 2021-09-01 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.

The Psychology of Trust

Author : Martha Peaslee Levine
Publisher : BoD – Books on Demand
ISBN 13 : 1839698721
Total Pages : 226 pages
Book Rating : 4.8/5 (396 download)

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Book Synopsis The Psychology of Trust by : Martha Peaslee Levine

Download or read book The Psychology of Trust written by Martha Peaslee Levine and published by BoD – Books on Demand. This book was released on 2023-01-18 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Trust has always been complicated. This book works to examine aspects and theories of trust. Chapters look at trust in the workplace. It considers types of leadership and how that influences the trust of employees. As workplaces and societies become more diverse, there can be an impact on trust. Many times, individuals will have implicit biases that can influence their perception of others and their ability to trust. Trust has also become more complicated with the advent of the internet. We can now connect with more ideas and individuals. Yet, is the person who communicates back with us real? Is it someone with a fake account or maybe not even a person at all, but a robot? Even though trust is complicated and we can sometimes be taken advantage of, we still need to find ways to trust others in our lives. Trust allows us to develop a community. We have always needed the community to be safe, both physically and emotionally. This book allows you to connect with new ideas and aspects of trust.

Metaheuristics and Nature Inspired Computing

Author : Bernabé Dorronsoro
Publisher : Springer Nature
ISBN 13 : 3030942163
Total Pages : 230 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Metaheuristics and Nature Inspired Computing by : Bernabé Dorronsoro

Download or read book Metaheuristics and Nature Inspired Computing written by Bernabé Dorronsoro and published by Springer Nature. This book was released on 2022-02-21 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes selected papers presented during the 8th International Conference on Metaheuristics and Nature Inspired Computing, META 2021, held in Marrakech, Morocco, in October 201. Due to the COVID-19 pandemic the conference was partiqally held online. The 16 papers were thoroughly reviewed and selected from the 53 submissions. They are organized in the topical sections on combinatorial optimization; continuous optimization; optimization and machine learning; applications.

Modern Techniques for Agricultural Disease Management and Crop Yield Prediction

Author : Pradeep, N.
Publisher : IGI Global
ISBN 13 : 1522596348
Total Pages : 291 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Modern Techniques for Agricultural Disease Management and Crop Yield Prediction by : Pradeep, N.

Download or read book Modern Techniques for Agricultural Disease Management and Crop Yield Prediction written by Pradeep, N. and published by IGI Global. This book was released on 2019-08-16 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since agriculture is one of the key parameters in assessing the gross domestic product (GDP) of any country, it has become crucial to transition from traditional agricultural practices to smart agriculture. New agricultural technologies provide numerous opportunities to maximize crop yield by recognizing and analyzing diseases and other natural variables that may affect it. Therefore, it is necessary to understand how computer-assisted technologies can best be utilized and adopted in the conversion to smart agriculture. Modern Techniques for Agricultural Disease Management and Crop Yield Prediction is an essential publication that widens the spectrum of computational methods that can aid in agriculture disease management, weed detection, and crop yield prediction. Featuring coverage on a wide range of topics such as soil and crop sensors, swarm robotics, and weed detection, this book is ideally designed for environmentalists, farmers, botanists, agricultural engineers, computer engineers, scientists, researchers, practitioners, and students seeking current research on technology and techniques for agricultural diseases and predictive trends.

GANs for Data Augmentation in Healthcare

Author : Arun Solanki
Publisher : Springer Nature
ISBN 13 : 3031432053
Total Pages : 255 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis GANs for Data Augmentation in Healthcare by : Arun Solanki

Download or read book GANs for Data Augmentation in Healthcare written by Arun Solanki and published by Springer Nature. This book was released on 2023-12-15 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer-Assisted Diagnostics (CAD) using Convolutional Neural Network (CNN) model has become an important technology in the medical industry, improving the accuracy of diagnostics. However, the lack Magnetic Resonance Imaging (MRI) data leads to the failure of the depth study algorithm. Medical records often different because of the cost of obtaining information and the time-consuming information. In general, clinical data are unreliable, the training of neural network methods to distribute disease across classes does not yield the desired results. Data augmentation is often done by training data to solve problems caused by augmentation tasks such as scaling, cropping, flipping, padding, rotation, translation, affine transformation, and color augmentation techniques such as brightness, contrast, saturation, and hue. Data Augmentation and Segmentation imaging using GAN can be used to provide clear images of brain, liver, chest, abdomen, and liver on MRI. In addition, GAN shows strong promise in the field of clinical image synthesis. In many cases, clinical evaluation is limited by a lack of data and/or the cost of actual information. GAN can overcome these problems by enabling scientists and clinicians to work on beautiful and realistic images. This can improve diagnosis, prognosis, and disease. Finally, GAN highlights the potential for location of patient information with data. This is a beneficial clinical application of GAN because it can effectively protect patient confidentiality. This book covers the application of GANs on medical imaging augmentation and segmentation.

Handbook of AI-based Metaheuristics

Author : Anand J. Kulkarni
Publisher : CRC Press
ISBN 13 : 1000434249
Total Pages : 419 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Handbook of AI-based Metaheuristics by : Anand J. Kulkarni

Download or read book Handbook of AI-based Metaheuristics written by Anand J. Kulkarni and published by CRC Press. This book was released on 2021-09-01 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.

Cultural Algorithms

Author : Shahin Jalili
Publisher : Springer Nature
ISBN 13 : 9811946337
Total Pages : 277 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Cultural Algorithms by : Shahin Jalili

Download or read book Cultural Algorithms written by Shahin Jalili and published by Springer Nature. This book was released on 2022-11-24 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the latest advances in Cultural Algorithms, their general framework, different variants, hybridized versions with other meta-heuristic and search techniques, and their applications. Cultural Algorithms are meta-heuristic numerical optimization techniques inspired by the bio-cultural evolutionary theory, in which both types of vertical and horizontal learning behaviors are modeled. The book includes well-briefed basics of optimization and theoretical backgrounds of Cultural Algorithms in its initial chapters and then discusses their applications in different branches of science and engineering. It provides detailed mathematical formulations and algorithmic pseudo-codes of hybridized, extended, and multi-population variants of cultural algorithms. The book will serve the research students, fellows, professors, and industry professionals to implement real-time applications of Cultural Algorithms.

Search and Optimization by Metaheuristics

Author : Ke-Lin Du
Publisher : Birkhäuser
ISBN 13 : 3319411926
Total Pages : 434 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Search and Optimization by Metaheuristics by : Ke-Lin Du

Download or read book Search and Optimization by Metaheuristics written by Ke-Lin Du and published by Birkhäuser. This book was released on 2016-07-20 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a comprehensive introduction to nature-inspired metaheuristic methods for search and optimization, including the latest trends in evolutionary algorithms and other forms of natural computing. Over 100 different types of these methods are discussed in detail. The authors emphasize non-standard optimization problems and utilize a natural approach to the topic, moving from basic notions to more complex ones. An introductory chapter covers the necessary biological and mathematical backgrounds for understanding the main material. Subsequent chapters then explore almost all of the major metaheuristics for search and optimization created based on natural phenomena, including simulated annealing, recurrent neural networks, genetic algorithms and genetic programming, differential evolution, memetic algorithms, particle swarm optimization, artificial immune systems, ant colony optimization, tabu search and scatter search, bee and bacteria foraging algorithms, harmony search, biomolecular computing, quantum computing, and many others. General topics on dynamic, multimodal, constrained, and multiobjective optimizations are also described. Each chapter includes detailed flowcharts that illustrate specific algorithms and exercises that reinforce important topics. Introduced in the appendix are some benchmarks for the evaluation of metaheuristics. Search and Optimization by Metaheuristics is intended primarily as a textbook for graduate and advanced undergraduate students specializing in engineering and computer science. It will also serve as a valuable resource for scientists and researchers working in these areas, as well as those who are interested in search and optimization methods.

Nature-Inspired Computation and Machine Learning

Author : Alexander Gelbukh
Publisher : Springer
ISBN 13 : 331913650X
Total Pages : 522 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Nature-Inspired Computation and Machine Learning by : Alexander Gelbukh

Download or read book Nature-Inspired Computation and Machine Learning written by Alexander Gelbukh and published by Springer. This book was released on 2014-11-05 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 8856 and LNAI 8857 constitutes the proceedings of the 13th Mexican International Conference on Artificial Intelligence, MICAI 2014, held in Tuxtla, Mexico, in November 2014. The total of 87 papers plus 1 invited talk presented in these proceedings were carefully reviewed and selected from 348 submissions. The first volume deals with advances in human-inspired computing and its applications. It contains 44 papers structured into seven sections: natural language processing, natural language processing applications, opinion mining, sentiment analysis, and social network applications, computer vision, image processing, logic, reasoning, and multi-agent systems, and intelligent tutoring systems. The second volume deals with advances in nature-inspired computation and machine learning and contains also 44 papers structured into eight sections: genetic and evolutionary algorithms, neural networks, machine learning, machine learning applications to audio and text, data mining, fuzzy logic, robotics, planning, and scheduling, and biomedical applications.

Constraint Handling in Metaheuristics and Applications

Author : Anand J. Kulkarni
Publisher : Springer Nature
ISBN 13 : 9813367105
Total Pages : 315 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Constraint Handling in Metaheuristics and Applications by : Anand J. Kulkarni

Download or read book Constraint Handling in Metaheuristics and Applications written by Anand J. Kulkarni and published by Springer Nature. This book was released on 2021-04-12 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.