Handbook Of Ai Based Metaheuristics

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Handbook of AI-based Metaheuristics

Anand J. Kulkarni,Patrick Siarry
Handbook of AI based Metaheuristics Book PDF

Author : Anand J. Kulkarni,Patrick Siarry
Publisher : CRC Press
Page : 584 pages
File Size : 50,5 Mb
Release : 2021-09-01
Category : Computers
ISBN : 9781000434255

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Handbook of AI-based Metaheuristics by Anand J. Kulkarni,Patrick Siarry Pdf

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.

Handbook of AI-based Metaheuristics

Anand J. Kulkarni,Patrick Siarry
Handbook of AI based Metaheuristics Book PDF

Author : Anand J. Kulkarni,Patrick Siarry
Publisher : CRC Press
Page : 419 pages
File Size : 43,7 Mb
Release : 2021-09-01
Category : Computers
ISBN : 9781000434248

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Handbook of AI-based Metaheuristics by Anand J. Kulkarni,Patrick Siarry Pdf

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.

AI-Based Metaheuristics for Information Security and Digital Media

Apoorva S Shastri,Mangal Singh,Anand J. Kulkarni,Patrick Siarry
AI Based Metaheuristics for Information Security and Digital Media Book PDF

Author : Apoorva S Shastri,Mangal Singh,Anand J. Kulkarni,Patrick Siarry
Publisher : CRC Press
Page : 151 pages
File Size : 48,5 Mb
Release : 2023-07-06
Category : Computers
ISBN : 9781000904680

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AI-Based Metaheuristics for Information Security and Digital Media by Apoorva S Shastri,Mangal Singh,Anand J. Kulkarni,Patrick Siarry Pdf

- Provides interdisciplinary solutions including the fields of steganography, cryptography, artificial intelligence, machine learning, deep learning, computer vision, and metaheuristics algorithms - Includes state-of-the-art research - Provides solutions using detailed figures and plots, illustrative examples, pseudo codes, and simulations

Handbook of Metaheuristics

Fred W. Glover,Gary A. Kochenberger
Handbook of Metaheuristics Book PDF

Author : Fred W. Glover,Gary A. Kochenberger
Publisher : Springer Science & Business Media
Page : 557 pages
File Size : 40,6 Mb
Release : 2006-04-11
Category : Mathematics
ISBN : 9780306480560

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Handbook of Metaheuristics by Fred W. Glover,Gary A. Kochenberger Pdf

This book provides both the research and practitioner communities with a comprehensive coverage of the metaheuristic methodologies that have proven to be successful in a wide variety of real-world problem settings. Moreover, it is these metaheuristic strategies that hold particular promise for success in the future. The various chapters serve as stand alone presentations giving both the necessary background underpinnings as well as practical guides for implementation.

Handbook of Research on Artificial Intelligence Techniques and Algorithms

Pandian Vasant
Handbook of Research on Artificial Intelligence Techniques and Algorithms Book PDF

Author : Pandian Vasant
Publisher : Information Science Reference
Page : 0 pages
File Size : 45,8 Mb
Release : 2015
Category : Algorithms
ISBN : 1466672587

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Handbook of Research on Artificial Intelligence Techniques and Algorithms by Pandian Vasant Pdf

"This book highlights the cutting edge developments in the promising research area of artificial intelligence, applying Meta-heuristics Optimization (MO) Techniques to real world problems in a variety of fields including business, logistics, computer science, engineering, and government"--

Metaheuristic Algorithms in Industry 4.0

Pritesh Shah,Ravi Sekhar,Anand J. Kulkarni,Patrick Siarry
Metaheuristic Algorithms in Industry 4 0 Book PDF

Author : Pritesh Shah,Ravi Sekhar,Anand J. Kulkarni,Patrick Siarry
Publisher : CRC Press
Page : 302 pages
File Size : 43,6 Mb
Release : 2021-09-29
Category : Computers
ISBN : 9781000435986

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Metaheuristic Algorithms in Industry 4.0 by Pritesh Shah,Ravi Sekhar,Anand J. Kulkarni,Patrick Siarry Pdf

Due to increasing industry 4.0 practices, massive industrial process data is now available for researchers for modelling and optimization. Artificial Intelligence methods can be applied to the ever-increasing process data to achieve robust control against foreseen and unforeseen system fluctuations. Smart computing techniques, machine learning, deep learning, computer vision, for example, will be inseparable from the highly automated factories of tomorrow. Effective cybersecurity will be a must for all Internet of Things (IoT) enabled work and office spaces. This book addresses metaheuristics in all aspects of Industry 4.0. It covers metaheuristic applications in IoT, cyber physical systems, control systems, smart computing, artificial intelligence, sensor networks, robotics, cybersecurity, smart factory, predictive analytics and more. Key features: Includes industrial case studies. Includes chapters on cyber physical systems, machine learning, deep learning, cybersecurity, robotics, smart manufacturing and predictive analytics. surveys current trends and challenges in metaheuristics and industry 4.0. Metaheuristic Algorithms in Industry 4.0 provides a guiding light to engineers, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.0 solutions in various systems and processes.

Artificial Intelligence for Societal Issues

Anupam Biswas,Vijay Bhaskar Semwal,Durgesh Singh
Artificial Intelligence for Societal Issues Book PDF

Author : Anupam Biswas,Vijay Bhaskar Semwal,Durgesh Singh
Publisher : Springer Nature
Page : 359 pages
File Size : 53,7 Mb
Release : 2023-10-24
Category : Computers
ISBN : 9783031124198

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Artificial Intelligence for Societal Issues by Anupam Biswas,Vijay Bhaskar Semwal,Durgesh Singh Pdf

Artificial intelligence (AI) has the potential to provide innovative solutions to various societal issues and real-world social challenges. AI is useful in combating some of the seemingly unsolvable social crises facing the world today. Be it disaster awareness and management or demand forecasting, or healthcare informatics or disease outbreaks like COVID-19, the AI plays a pivotal role everywhere. AI has the potential to address some of the societal issues that indirectly pose challenges like cybercrime, agriculture, education, economy, and health. The book covers several applications of AI as solutions to different societal issues, which include economic empowerment, smart education system, COVID-19 detection & management, emotion detection, fraudulent transactions, applications in agriculture and health informatics, etc. The book will be helpful for the academicians and researchers working with various areas of societal issues, data science, artificial intelligence, and machine learning.

Artificial Intelligence in Mechatronics and Civil Engineering

Ehsan Momeni,Danial Jahed Armaghani,Aydin Azizi
Artificial Intelligence in Mechatronics and Civil Engineering Book PDF

Author : Ehsan Momeni,Danial Jahed Armaghani,Aydin Azizi
Publisher : Springer Nature
Page : 254 pages
File Size : 49,7 Mb
Release : 2023-02-15
Category : Science
ISBN : 9789811987908

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Artificial Intelligence in Mechatronics and Civil Engineering by Ehsan Momeni,Danial Jahed Armaghani,Aydin Azizi Pdf

Recent studies highlight the application of artificial intelligence, machine learning, and simulation techniques in engineering. This book covers the successful implementation of different intelligent techniques in various areas of engineering focusing on common areas between mechatronics and civil engineering. The power of artificial intelligence and machine learning techniques in solving some examples of real-life problems in engineering is highlighted in this book. The implementation process to design the optimum intelligent models is discussed in this book.

Handbook of Research on AI-Based Technologies and Applications in the Era of the Metaverse

Khang, Alex,Shah, Vrushank,Rani, Sita
Handbook of Research on AI Based Technologies and Applications in the Era of the Metaverse Book PDF

Author : Khang, Alex,Shah, Vrushank,Rani, Sita
Publisher : IGI Global
Page : 554 pages
File Size : 54,7 Mb
Release : 2023-07-03
Category : Computers
ISBN : 9781668488539

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Handbook of Research on AI-Based Technologies and Applications in the Era of the Metaverse by Khang, Alex,Shah, Vrushank,Rani, Sita Pdf

The recent advancements in the field of the internet of things (IoT), AI, big data, blockchain, augmented reality (AR)/virtual reality (VR), cloud platforms, quantum computing, cybersecurity, and telecommunication technology enabled the promotion of conventional computer-aided industry to the metaverse ecosystem that is powered by AR/VR-driven technologies. In this paradigm shift, the integrated technologies of IoT and AI play a vital role to connect the cyberspace of computing systems and virtual environments. AR/VR supports a huge range of industrial applications such as logistics, the food industry, and manufacturing utilities. AI-Based Technologies and Applications in the Era of the Metaverse discusses essential components of the metaverse ecosystem such as concepts, methodologies, technologies, modeling, designs, statistics, implementation, and maintenance. Covering key topics such as machine learning, deep learning, quantum computing, and blockchain, this premier reference source is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Combinatorial Optimization Under Uncertainty

Ritu Arora,Shalini Arora,Anand Kulkarni,Patrick Siarry
Combinatorial Optimization Under Uncertainty Book PDF

Author : Ritu Arora,Shalini Arora,Anand Kulkarni,Patrick Siarry
Publisher : CRC Press
Page : 221 pages
File Size : 47,8 Mb
Release : 2023-05-12
Category : Business & Economics
ISBN : 9781000859812

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Combinatorial Optimization Under Uncertainty by Ritu Arora,Shalini Arora,Anand Kulkarni,Patrick Siarry Pdf

This book discusses the basic ideas, underlying principles, mathematical formulations, analysis and applications of the different combinatorial problems under uncertainty and attempts to provide solutions for the same. Uncertainty influences the behaviour of the market to a great extent. Global pandemics and calamities are other factors which affect and augment unpredictability in the market. The intent of this book is to develop mathematical structures for different aspects of allocation problems depicting real life scenarios. The novel methods which are incorporated in practical scenarios under uncertain circumstances include the STAR heuristic approach, Matrix geometric method, Ranking function and Pythagorean fuzzy numbers, to name a few. Distinct problems which are considered in this book under uncertainty include scheduling, cyclic bottleneck assignment problem, bilevel transportation problem, multi-index transportation problem, retrial queuing, uncertain matrix games, optimal production evaluation of cotton in different soil and water conditions, the healthcare sector, intuitionistic fuzzy quadratic programming problem, and multi-objective optimization problem. This book may serve as a valuable reference for researchers working in the domain of optimization for solving combinatorial problems under uncertainty. The contributions of this book may further help to explore new avenues leading toward multidisciplinary research discussions.

Optimization Methods for Product and System Design

Anand J. Kulkarni
Optimization Methods for Product and System Design Book PDF

Author : Anand J. Kulkarni
Publisher : Springer Nature
Page : 266 pages
File Size : 40,6 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.

Constraint Handling in Cohort Intelligence Algorithm

Ishaan R. Kale,Anand J. Kulkarni
Constraint Handling in Cohort Intelligence Algorithm Book PDF

Author : Ishaan R. Kale,Anand J. Kulkarni
Publisher : CRC Press
Page : 206 pages
File Size : 42,8 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.

Applications of Nature-Inspired Computing and Optimization Techniques

Anonim
Applications of Nature Inspired Computing and Optimization Techniques Book PDF

Author : Anonim
Publisher : Elsevier
Page : 566 pages
File Size : 51,5 Mb
Release : 2024-04-04
Category : Mathematics
ISBN : 9780323957694

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Applications of Nature-Inspired Computing and Optimization Techniques by Anonim Pdf

Advances in Computers, Volume 135 highlights advances in the field, with this new volume, Applications of Nature-inspired Computing and Optimization Techniques presenting interesting chapters on a variety of timely topics, including A Brief Introduction to Nature-inspired Computing, Optimization and Applications, Overview of Non-linear Interval Optimization Problems, Solving the Aircraft Landing Problem using the Bee Colony Optimization (BCO) Algorithm, Situation-based Genetic Network Programming to Solve Agent Control Problems, Small Signal Stability Enhancement of Large Interconnected Power System using Grasshopper Optimization Algorithm Tuned Power System Stabilizer, Air Quality Modelling for Smart Cities of India by Nature Inspired AI – A Sustainable Approach, and much more. Other sections cover Genetic Algorithm for the Optimization of Infectiological Parameter Values under Different Nutritional Status, A Novel Influencer Mutation Strategy for Nature-inspired Optimization Algorithms to Solve Electricity Price Forecasting Problem, Recent Trends in Human and Bio Inspired Computing: Use Case Study from Retail Perspective, Domain Knowledge Enriched Summarization of Legal Judgment Documents via Grey Wolf Optimization, and a host of other topics. Includes algorithm specific studies that cover basic introduction and analysis of key components of algorithms, such as convergence, solution accuracy, computational costs, tuning, and control of parameters Comprises some of the major applications of different domains Presents application specific studies, incorporating ways of designing objective functions, solution representation, and constraint handling

Hybrid Genetic Optimization for IC Chips Thermal Control

Mathew V. K.,Tapano Kumar Hotta
Hybrid Genetic Optimization for IC Chips Thermal Control Book PDF

Author : Mathew V. K.,Tapano Kumar Hotta
Publisher : CRC Press
Page : 175 pages
File Size : 46,6 Mb
Release : 2022-06-07
Category : Computers
ISBN : 9781000590395

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Hybrid Genetic Optimization for IC Chips Thermal Control by Mathew V. K.,Tapano Kumar Hotta Pdf

The continuous miniaturization of integrated circuit (IC) chips and the increase in the sleekness of the design of electronic components have led to the monumental rise of volumetric heat generation in electronic components. Hybrid Genetic Optimization for IC Chips Thermal Control: With MATLAB® Applications focuses on the detailed optimization strategy carried out to enhance the performance (temperature control) of the IC chips oriented at different positions on a switch-mode power supply (SMPS) board and cooled using air under various heat transfer modes. Seven asymmetric protruding IC chips mounted at different positions on an SMPS board are considered in the present study that is supplied with non-uniform heat fluxes. Key Features: Provides guidance on performance enhancement and reliability of IC chips Provides a detailed hybrid optimization strategy for the optimal arrangement of IC chips on a board The MATLAB program for the hybrid optimization strategy along with its stability analysis is carried out in a detailed manner Enables thermal design engineers to identify the positioning of IC chips on the board to increase their reliability and working cycle

Metaheuristics in Machine Learning: Theory and Applications

Diego Oliva
Metaheuristics in Machine Learning Theory and Applications Book PDF

Author : Diego Oliva
Publisher : Springer Nature
Page : 765 pages
File Size : 51,9 Mb
Release : 2024-06-01
Category : Computational intelligence
ISBN : 9783030705428

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Metaheuristics in Machine Learning: Theory and Applications by Diego Oliva Pdf

This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms. The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities.