Applications Of Nature Inspired Computing And Optimization Techniques

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Nature-Inspired Computing and Optimization

Srikanta Patnaik,Xin-She Yang,Kazumi Nakamatsu
Nature Inspired Computing and Optimization Book PDF

Author : Srikanta Patnaik,Xin-She Yang,Kazumi Nakamatsu
Publisher : Springer
Page : 494 pages
File Size : 43,6 Mb
Release : 2017-03-07
Category : Technology & Engineering
ISBN : 9783319509204

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Nature-Inspired Computing and Optimization by Srikanta Patnaik,Xin-She Yang,Kazumi Nakamatsu Pdf

The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Applications cover a wide range of real-world optimization problems: from feature selection and image enhancement to scheduling and dynamic resource management, from wireless sensor networks and wiring network diagnosis to sports training planning and gene expression, from topology control and morphological filters to nutritional meal design and antenna array design. There are a few theoretical chapters comparing different existing techniques, exploring the advantages of nature-inspired computing over other methods, and investigating the mixing time of genetic algorithms. The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization. This timely book is intended as a practice-oriented reference guide for students, researchers and professionals.

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 : 43,9 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

Nature Inspired Computing for Data Science

Minakhi Rout,Jitendra Kumar Rout,Himansu Das
Nature Inspired Computing for Data Science Book PDF

Author : Minakhi Rout,Jitendra Kumar Rout,Himansu Das
Publisher : Springer Nature
Page : 303 pages
File Size : 45,9 Mb
Release : 2019-11-26
Category : Computers
ISBN : 9783030338206

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Nature Inspired Computing for Data Science by Minakhi Rout,Jitendra Kumar Rout,Himansu Das Pdf

This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.

Frontiers in Nature-Inspired Industrial Optimization

Mahdi Khosravy,Neeraj Gupta,Nilesh Patel
Frontiers in Nature Inspired Industrial Optimization Book PDF

Author : Mahdi Khosravy,Neeraj Gupta,Nilesh Patel
Publisher : Springer Nature
Page : 245 pages
File Size : 47,5 Mb
Release : 2021-08-06
Category : Technology & Engineering
ISBN : 9789811631283

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Frontiers in Nature-Inspired Industrial Optimization by Mahdi Khosravy,Neeraj Gupta,Nilesh Patel Pdf

The book provides a collection of recent applications of nature inspired optimization in industrial fields. Different optimization techniques have been deployed, and different problems have been effectively analyzed. The valuable contributions from researchers focus on three ultimate goals (i) improving the accuracy of these techniques, (ii) achieving higher speed and lower computational complexity, and (iii) working on their proposed applications. The book is helpful for active researchers and practitioners in the field.

Advances in Nature-Inspired Computing and Applications

Shishir Kumar Shandilya,Smita Shandilya,Atulya K. Nagar
Advances in Nature Inspired Computing and Applications Book PDF

Author : Shishir Kumar Shandilya,Smita Shandilya,Atulya K. Nagar
Publisher : Springer
Page : 349 pages
File Size : 53,7 Mb
Release : 2018-08-29
Category : Technology & Engineering
ISBN : 9783319964515

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Advances in Nature-Inspired Computing and Applications by Shishir Kumar Shandilya,Smita Shandilya,Atulya K. Nagar Pdf

This book contains research contributions from leading global scholars in nature-inspired computing. It includes comprehensive coverage of each respective topic, while also highlighting recent and future trends. The contributions provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application. This book has focus on the current researches while highlighting the empirical results along with theoretical concepts to provide a comprehensive reference for students, researchers, scholars, professionals and practitioners in the field of Advanced Artificial Intelligence, Nature-Inspired Algorithms and Soft Computing.

Frontier Applications of Nature Inspired Computation

Mahdi Khosravy,Neeraj Gupta,Nilesh Patel,Tomonobu Senjyu
Frontier Applications of Nature Inspired Computation Book PDF

Author : Mahdi Khosravy,Neeraj Gupta,Nilesh Patel,Tomonobu Senjyu
Publisher : Springer Nature
Page : 389 pages
File Size : 51,6 Mb
Release : 2020-03-11
Category : Technology & Engineering
ISBN : 9789811521331

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Frontier Applications of Nature Inspired Computation by Mahdi Khosravy,Neeraj Gupta,Nilesh Patel,Tomonobu Senjyu Pdf

This book addresses the frontier advances in the theory and application of nature-inspired optimization techniques, including solving the quadratic assignment problem, prediction in nature-inspired dynamic optimization, the lion algorithm and its applications, optimizing the operation scheduling of microgrids, PID controllers for two-legged robots, optimizing crane operating times, planning electrical energy distribution systems, automatic design and evaluation of classification pipelines, and optimizing wind-energy power generation plants. The book also presents a variety of nature-inspired methods and illustrates methods of adapting these to said applications. Nature-inspired computation, developed by mimicking natural phenomena, makes a significant contribution toward the solution of non-convex optimization problems that normal mathematical optimizers fail to solve. As such, a wide range of nature-inspired computing approaches has been used in multidisciplinary engineering applications. Written by researchers and developers from a variety of fields, this book presents the latest findings, novel techniques and pioneering applications.

Nature Inspired Optimization Techniques for Image Processing Applications

Jude Hemanth,Valentina Emilia Balas
Nature Inspired Optimization Techniques for Image Processing Applications Book PDF

Author : Jude Hemanth,Valentina Emilia Balas
Publisher : Springer
Page : 297 pages
File Size : 40,5 Mb
Release : 2018-09-19
Category : Technology & Engineering
ISBN : 9783319960029

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Nature Inspired Optimization Techniques for Image Processing Applications by Jude Hemanth,Valentina Emilia Balas Pdf

This book provides a platform for exploring nature-inspired optimization techniques in the context of imaging applications. Optimization has become part and parcel of all computational vision applications, and since the amount of data used in these applications is vast, the need for optimization techniques has increased exponentially. These accuracy and complexity are a major area of concern when it comes to practical applications. However, these optimization techniques have not yet been fully explored in the context of imaging applications. By presenting interdisciplinary concepts, ranging from optimization to image processing, the book appeals to a broad readership, while also encouraging budding engineers to pursue and employ innovative nature-inspired techniques for image processing applications.

Applied Nature-Inspired Computing: Algorithms and Case Studies

Nilanjan Dey,Amira S. Ashour,Siddhartha Bhattacharyya
Applied Nature Inspired Computing Algorithms and Case Studies Book PDF

Author : Nilanjan Dey,Amira S. Ashour,Siddhartha Bhattacharyya
Publisher : Springer
Page : 275 pages
File Size : 45,7 Mb
Release : 2019-08-10
Category : Technology & Engineering
ISBN : 9789811392634

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Applied Nature-Inspired Computing: Algorithms and Case Studies by Nilanjan Dey,Amira S. Ashour,Siddhartha Bhattacharyya Pdf

This book presents a cutting-edge research procedure in the Nature-Inspired Computing (NIC) domain and its connections with computational intelligence areas in real-world engineering applications. It introduces readers to a broad range of algorithms, such as genetic algorithms, particle swarm optimization, the firefly algorithm, flower pollination algorithm, collision-based optimization algorithm, bat algorithm, ant colony optimization, and multi-agent systems. In turn, it provides an overview of meta-heuristic algorithms, comparing the advantages and disadvantages of each. Moreover, the book provides a brief outline of the integration of nature-inspired computing techniques and various computational intelligence paradigms, and highlights nature-inspired computing techniques in a range of applications, including: evolutionary robotics, sports training planning, assessment of water distribution systems, flood simulation and forecasting, traffic control, gene expression analysis, antenna array design, and scheduling/dynamic resource management.

Nature-Inspired Optimization Algorithms

Aditya Khamparia,Ashish Khanna,Nhu Gia Nguyen,Bao Le Nguyen
Nature Inspired Optimization Algorithms Book PDF

Author : Aditya Khamparia,Ashish Khanna,Nhu Gia Nguyen,Bao Le Nguyen
Publisher : Walter de Gruyter GmbH & Co KG
Page : 201 pages
File Size : 55,7 Mb
Release : 2021-02-08
Category : Computers
ISBN : 9783110676150

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Nature-Inspired Optimization Algorithms by Aditya Khamparia,Ashish Khanna,Nhu Gia Nguyen,Bao Le Nguyen Pdf

This book will focus on the involvement of data mining and intelligent computing methods for recent advances in Biomedical applications and algorithms of nature-inspired computing for Biomedical systems. The proposed meta heuristic or nature-inspired techniques should be an enhanced, hybrid, adaptive or improved version of basic algorithms in terms of performance and convergence metrics. In this exciting and emerging interdisciplinary area a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems. Today, analysis and processing of data is one of big focuses among researchers community and information society. Due to evolution and knowledge discovery of natural computing, related meta heuristic or bio-inspired algorithms have gained increasing popularity in the recent decade because of their significant potential to tackle computationally intractable optimization dilemma in medical, engineering, military, space and industry fields. The main reason behind the success rate of nature inspired algorithms is their capability to solve problems. The nature inspired optimization techniques provide adaptive computational tools for the complex optimization problems and diversified engineering applications. Tentative Table of Contents/Topic Coverage: - Neural Computation - Evolutionary Computing Methods - Neuroscience driven AI Inspired Algorithms - Biological System based algorithms - Hybrid and Intelligent Computing Algorithms - Application of Natural Computing - Review and State of art analysis of Optimization algorithms - Molecular and Quantum computing applications - Swarm Intelligence - Population based algorithm and other optimizations

Nature-Inspired Computing for Smart Application Design

Santosh Kumar Das,Thanh-Phong Dao,Thinagaran Perumal
Nature Inspired Computing for Smart Application Design Book PDF

Author : Santosh Kumar Das,Thanh-Phong Dao,Thinagaran Perumal
Publisher : Springer Nature
Page : 287 pages
File Size : 55,6 Mb
Release : 2021-03-17
Category : Technology & Engineering
ISBN : 9789813361959

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Nature-Inspired Computing for Smart Application Design by Santosh Kumar Das,Thanh-Phong Dao,Thinagaran Perumal Pdf

This book focuses primarily on the nature-inspired approach for designing smart applications. It includes several implementation paradigms such as design and path planning of wireless network, security mechanism and implementation for dynamic as well as static nodes, learning method of cloud computing, data exploration and management, data analysis and optimization, decision taking in conflicting environment, etc. The book fundamentally highlights the recent research advancements in the field of engineering and science.

Applied Nature-Inspired Computing: Algorithms and Case Studies

Nilanjan Dey,Amira S. Ashour,Siddhartha Bhattacharyya
Applied Nature Inspired Computing Algorithms and Case Studies Book PDF

Author : Nilanjan Dey,Amira S. Ashour,Siddhartha Bhattacharyya
Publisher : Unknown
Page : 275 pages
File Size : 50,8 Mb
Release : 2020
Category : Algorithms
ISBN : 9811392641

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Applied Nature-Inspired Computing: Algorithms and Case Studies by Nilanjan Dey,Amira S. Ashour,Siddhartha Bhattacharyya Pdf

This book presents a cutting-edge research procedure in the Nature-Inspired Computing (NIC) domain and its connections with computational intelligence areas in real-world engineering applications. It introduces readers to a broad range of algorithms, such as genetic algorithms, particle swarm optimization, the firefly algorithm, flower pollination algorithm, collision-based optimization algorithm, bat algorithm, ant colony optimization, and multi-agent systems. In turn, it provides an overview of meta-heuristic algorithms, comparing the advantages and disadvantages of each. Moreover, the book provides a brief outline of the integration of nature-inspired computing techniques and various computational intelligence paradigms, and highlights nature-inspired computing techniques in a range of applications, including: evolutionary robotics, sports training planning, assessment of water distribution systems, flood simulation and forecasting, traffic control, gene expression analysis, antenna array design, and scheduling/dynamic resource management.

Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications

Serdar Carbas,Abdurrahim Toktas,Deniz Ustun
Nature Inspired Metaheuristic Algorithms for Engineering Optimization Applications Book PDF

Author : Serdar Carbas,Abdurrahim Toktas,Deniz Ustun
Publisher : Springer Nature
Page : 420 pages
File Size : 46,7 Mb
Release : 2021-03-31
Category : Technology & Engineering
ISBN : 9789813367739

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Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications by Serdar Carbas,Abdurrahim Toktas,Deniz Ustun Pdf

This book engages in an ongoing topic, such as the implementation of nature-inspired metaheuristic algorithms, with a main concentration on optimization problems in different fields of engineering optimization applications. The chapters of the book provide concise overviews of various nature-inspired metaheuristic algorithms, defining their profits in obtaining the optimal solutions of tiresome engineering design problems that cannot be efficiently resolved via conventional mathematical-based techniques. Thus, the chapters report on advanced studies on the applications of not only the traditional, but also the contemporary certain nature-inspired metaheuristic algorithms to specific engineering optimization problems with single and multi-objectives. Harmony search, artificial bee colony, teaching learning-based optimization, electrostatic discharge, grasshopper, backtracking search, and interactive search are just some of the methods exhibited and consulted step by step in application contexts. The book is a perfect guide for graduate students, researchers, academicians, and professionals willing to use metaheuristic algorithms in engineering optimization applications.

Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications

Management Association, Information Resources
Nature Inspired Computing Concepts Methodologies Tools and Applications Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1780 pages
File Size : 52,8 Mb
Release : 2016-07-26
Category : Computers
ISBN : 9781522507895

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Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

As technology continues to become more sophisticated, mimicking natural processes and phenomena also becomes more of a reality. Continued research in the field of natural computing enables an understanding of the world around us, in addition to opportunities for man-made computing to mirror the natural processes and systems that have existed for centuries. Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications takes an interdisciplinary approach to the topic of natural computing, including emerging technologies being developed for the purpose of simulating natural phenomena, applications across industries, and the future outlook of biologically and nature-inspired technologies. Emphasizing critical research in a comprehensive multi-volume set, this publication is designed for use by IT professionals, researchers, and graduate students studying intelligent computing.

Nature-Inspired Optimization Algorithms

Xin-She Yang
Nature Inspired Optimization Algorithms Book PDF

Author : Xin-She Yang
Publisher : Elsevier
Page : 300 pages
File Size : 48,7 Mb
Release : 2014-02-17
Category : Computers
ISBN : 9780124167452

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Nature-Inspired Optimization Algorithms by Xin-She Yang Pdf

Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference. Discusses and summarizes the latest developments in nature-inspired algorithms with comprehensive, timely literature Provides a theoretical understanding as well as practical implementation hints Provides a step-by-step introduction to each algorithm

Nature-Inspired Optimization Algorithms

Aditya Khamparia,Ashish Khanna,Nhu Gia Nguyen,Bao Le Nguyen
Nature Inspired Optimization Algorithms Book PDF

Author : Aditya Khamparia,Ashish Khanna,Nhu Gia Nguyen,Bao Le Nguyen
Publisher : Walter de Gruyter GmbH & Co KG
Page : 168 pages
File Size : 53,8 Mb
Release : 2021-02-08
Category : Computers
ISBN : 9783110676112

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Nature-Inspired Optimization Algorithms by Aditya Khamparia,Ashish Khanna,Nhu Gia Nguyen,Bao Le Nguyen Pdf

This book will focus on the involvement of data mining and intelligent computing methods for recent advances in Biomedical applications and algorithms of nature-inspired computing for Biomedical systems. The proposed meta heuristic or nature-inspired techniques should be an enhanced, hybrid, adaptive or improved version of basic algorithms in terms of performance and convergence metrics. In this exciting and emerging interdisciplinary area a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems. Today, analysis and processing of data is one of big focuses among researchers community and information society. Due to evolution and knowledge discovery of natural computing, related meta heuristic or bio-inspired algorithms have gained increasing popularity in the recent decade because of their significant potential to tackle computationally intractable optimization dilemma in medical, engineering, military, space and industry fields. The main reason behind the success rate of nature inspired algorithms is their capability to solve problems. The nature inspired optimization techniques provide adaptive computational tools for the complex optimization problems and diversified engineering applications. Tentative Table of Contents/Topic Coverage: - Neural Computation - Evolutionary Computing Methods - Neuroscience driven AI Inspired Algorithms - Biological System based algorithms - Hybrid and Intelligent Computing Algorithms - Application of Natural Computing - Review and State of art analysis of Optimization algorithms - Molecular and Quantum computing applications - Swarm Intelligence - Population based algorithm and other optimizations