Bio Inspired Algorithms For Engineering

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Bio-inspired Algorithms for Engineering

Bio-inspired Algorithms for Engineering
  • Author : Nancy Arana-Daniel,Carlos Lopez-Franco,Alma Y. Alanis
  • Publisher : Butterworth-Heinemann
  • Release Date : 2018-02-03
  • Total pages : 152
  • ISBN : 9780128137895
  • File Size : 29,7 Mb
  • Total Download : 916
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Bio-inspired Algorithms for Engineering builds a bridge between the proposed bio-inspired algorithms developed in the past few decades and their applications in real-life problems, not only in an academic context, but also in the real world. The book proposes novel algorithms to solve real-life, complex problems, combining well-known bio-inspired algorithms with new concepts, including both rigorous analyses and unique applications. It covers both theoretical and practical methodologies, allowing readers to learn more about the implementation of bio-inspired algorithms. This book is a useful resource for both academic and industrial engineers working on artificial intelligence, robotics, machine learning, vision, classification, pattern recognition, identification and control. Presents real-time implementation and simulation results for all the proposed schemes Offers a comparative analysis and rigorous analysis of the convergence of proposed algorithms Provides a guide for implementing each application at the end of each chapter Includes illustrations, tables and figures that facilitate the reader’s comprehension of the proposed schemes and applications

Handbook of Bioinspired Algorithms and Applications

Handbook of Bioinspired Algorithms and Applications
  • Author : Stephan Olariu,Albert Y. Zomaya
  • Publisher : CRC Press
  • Release Date : 2005-09-29
  • Total pages : 704
  • ISBN : 9781420035063
  • File Size : 54,6 Mb
  • Total Download : 607
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The mystique of biologically inspired (or bioinspired) paradigms is their ability to describe and solve complex relationships from intrinsically very simple initial conditions and with little or no knowledge of the search space. Edited by two prominent, well-respected researchers, the Handbook of Bioinspired Algorithms and Applications reveals the

Swarm Intelligence and Bio-Inspired Computation

Swarm Intelligence and Bio-Inspired Computation
  • Author : Xin-She Yang,Zhihua Cui,Renbin Xiao,Amir Hossein Gandomi,Mehmet Karamanoglu
  • Publisher : Newnes
  • Release Date : 2013-05-16
  • Total pages : 450
  • ISBN : 9780124051775
  • File Size : 39,9 Mb
  • Total Download : 377
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Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades. Bio-inspired algorithms such as ant colony algorithms, bat algorithms, bee algorithms, firefly algorithms, cuckoo search and particle swarm optimization have been applied in almost every area of science and engineering with a dramatic increase of number of relevant publications. This book reviews the latest developments in swarm intelligence and bio-inspired computation from both the theory and application side, providing a complete resource that analyzes and discusses the latest and future trends in research directions. It can help new researchers to carry out timely research and inspire readers to develop new algorithms. With its impressive breadth and depth, this book will be useful for advanced undergraduate students, PhD students and lecturers in computer science, engineering and science as well as researchers and engineers. Focuses on the introduction and analysis of key algorithms Includes case studies for real-world applications Contains a balance of theory and applications, so readers who are interested in either algorithm or applications will all benefit from this timely book.

Bio-Inspired Computational Algorithms and Their Applications

Bio-Inspired Computational Algorithms and Their Applications
  • Author : Shangce Gao
  • Publisher : BoD – Books on Demand
  • Release Date : 2012-03-07
  • Total pages : 436
  • ISBN : 9789535102144
  • File Size : 22,9 Mb
  • Total Download : 482
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Bio-inspired computational algorithms are always hot research topics in artificial intelligence communities. Biology is a bewildering source of inspiration for the design of intelligent artifacts that are capable of efficient and autonomous operation in unknown and changing environments. It is difficult to resist the fascination of creating artifacts that display elements of lifelike intelligence, thus needing techniques for control, optimization, prediction, security, design, and so on. Bio-Inspired Computational Algorithms and Their Applications is a compendium that addresses this need. It integrates contrasting techniques of genetic algorithms, artificial immune systems, particle swarm optimization, and hybrid models to solve many real-world problems. The works presented in this book give insights into the creation of innovative improvements over algorithm performance, potential applications on various practical tasks, and combination of different techniques. The book provides a reference to researchers, practitioners, and students in both artificial intelligence and engineering communities, forming a foundation for the development of the field.

Bio-Inspired Algorithms in PID Controller Optimization

Bio-Inspired Algorithms in PID Controller Optimization
  • Author : Jagatheesan Kallannan,Anand Baskaran,Nilanjan Dey,Amira S. Ashour
  • Publisher : CRC Press
  • Release Date : 2018-06-12
  • Total pages : 76
  • ISBN : 9780429943386
  • File Size : 39,9 Mb
  • Total Download : 541
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This book discusses in-depth role of optimization to optimize the controller parameters with reference to bio-inspired algorithms. Comparative studies to evaluate the performance of different optimization techniques in terms of the settling time, overshoot and undershoot responses of the frequency deviations, tie-line power flow deviations, and the area control error are included, supported by examples. The book also includes different scenarios of the load frequency controller for single area as well as multi-area thermal power generating unit considering different algorithms. Key Features: Highlights the importance of tuning the power system controller parameters with emphasis on bio-inspiration algorithms Provides some applied applications/examples of the thermal power system Focusses on power system applications based on the optimization algorithms with different single area and multi-area thermal power systems Reports different cases on the interconnected power systems with providing optimal performance by optimizing the controller’s parameters

Bio-Inspired Fault-Tolerant Algorithms for Network-on-Chip

Bio-Inspired Fault-Tolerant Algorithms for Network-on-Chip
  • Author : Muhammad Athar Javed Sethi
  • Publisher : CRC Press
  • Release Date : 2020-03-17
  • Total pages : 158
  • ISBN : 9781000048117
  • File Size : 29,9 Mb
  • Total Download : 513
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Network on Chip (NoC) addresses the communication requirement of different nodes on System on Chip. The bio-inspired algorithms improve the bandwidth utilization, maximize the throughput and reduce the end-to-end latency and inter-flit arrival time. This book exclusively presents in-depth information regarding bio-inspired algorithms solving real world problems focussing on fault-tolerant algorithms inspired by the biological brain and implemented on NoC. It further documents the bio-inspired algorithms in general and more specifically, in the design of NoC. It gives an exhaustive review and analysis of the NoC architectures developed during the last decade according to various parameters. Key Features: Covers bio-inspired solutions pertaining to Network-on-Chip (NoC) design solving real world examples Includes bio-inspired NoC fault-tolerant algorithms with detail coding examples Lists fault-tolerant algorithms with detailed examples Reviews basic concepts of NoC Discusses NoC architectures developed-to-date

Bio-Inspired Computation in Telecommunications

Bio-Inspired Computation in Telecommunications
  • Author : Xin-She Yang,Su Fong Chien,T.O. Ting
  • Publisher : Morgan Kaufmann
  • Release Date : 2015-02-11
  • Total pages : 348
  • ISBN : 9780128017432
  • File Size : 13,5 Mb
  • Total Download : 947
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Bio-inspired computation, especially those based on swarm intelligence, has become increasingly popular in the last decade. Bio-Inspired Computation in Telecommunications reviews the latest developments in bio-inspired computation from both theory and application as they relate to telecommunications and image processing, providing a complete resource that analyzes and discusses the latest and future trends in research directions. Written by recognized experts, this is a must-have guide for researchers, telecommunication engineers, computer scientists and PhD students.

Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach

Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach
  • Author : José Mira,José R. Álvarez
  • Publisher : Springer Science & Business Media
  • Release Date : 2005-06-13
  • Total pages : 659
  • ISBN : 9783540263197
  • File Size : 38,9 Mb
  • Total Download : 657
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The two-volume set LNCS 3561 and LNCS 3562 constitute the refereed proceedings of the First International Work-Conference on the Interplay between Natural and Artificial Computation, IWINAC 2005, held in Las Palmas, Canary Islands, Spain in June 2005. The 118 revised papers presented are thematically divided into two volumes; the first includes all the contributions mainly related with the methodological, conceptual, formal, and experimental developments in the fields of Neurophysiology and cognitive science. The second volume collects the papers related with bioinspired programming strategies and all the contributions related with the computational solutions to engineering problems in different application domains.

Bio-Inspired Computing for Information Retrieval Applications

Bio-Inspired Computing for Information Retrieval Applications
  • Author : Acharjya, D.P.,Mitra, Anirban
  • Publisher : IGI Global
  • Release Date : 2017-02-14
  • Total pages : 388
  • ISBN : 9781522523765
  • File Size : 10,7 Mb
  • Total Download : 202
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The growing presence of biologically-inspired processing has caused significant changes in data retrieval. With the ubiquity of these technologies, more effective and streamlined data processing techniques are available. Bio-Inspired Computing for Information Retrieval Applications is a key resource on the latest advances and research regarding current techniques that have evolved from biologically-inspired processes and its application to a variety of problems. Highlighting multidisciplinary studies on data processing, swarm-based clustering, and evolutionary computation, this publication is an ideal reference source for researchers, academics, professionals, students, and practitioners.

Bioinspired Computation in Combinatorial Optimization

Bioinspired Computation in Combinatorial Optimization
  • Author : Frank Neumann,Carsten Witt
  • Publisher : Springer Science & Business Media
  • Release Date : 2010-11-04
  • Total pages : 216
  • ISBN : 9783642165443
  • File Size : 46,9 Mb
  • Total Download : 843
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Bioinspired computation methods such as evolutionary algorithms and ant colony optimization are being applied successfully to complex engineering problems and to problems from combinatorial optimization, and with this comes the requirement to more fully understand the computational complexity of these search heuristics. This is the first textbook covering the most important results achieved in this area. The authors study the computational complexity of bioinspired computation and show how runtime behavior can be analyzed in a rigorous way using some of the best-known combinatorial optimization problems -- minimum spanning trees, shortest paths, maximum matching, covering and scheduling problems. A feature of the book is the separate treatment of single- and multiobjective problems, the latter a domain where the development of the underlying theory seems to be lagging practical successes. This book will be very valuable for teaching courses on bioinspired computation and combinatorial optimization. Researchers will also benefit as the presentation of the theory covers the most important developments in the field over the last 10 years. Finally, with a focus on well-studied combinatorial optimization problems rather than toy problems, the book will also be very valuable for practitioners in this field.

A Journey Towards Bio-inspired Techniques in Software Engineering

A Journey Towards Bio-inspired Techniques in Software Engineering
  • Author : Jagannath Singh,Saurabh Bilgaiyan,Bhabani Shankar Prasad Mishra,Satchidananda Dehuri
  • Publisher : Springer Nature
  • Release Date : 2020-03-11
  • Total pages : 210
  • ISBN : 9783030409289
  • File Size : 23,8 Mb
  • Total Download : 554
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This book covers a range of basic and advanced topics in software engineering. The field has undergone several phases of change and improvement since its invention, and there is significant ongoing research in software development, addressing aspects such as analysis, design, testing and maintenance. Rather than focusing on a single aspect of software engineering, this book provides a systematic overview of recent techniques, including requirement gathering in the form of story points in agile software, and bio-inspired techniques for estimating the effort, cost, and time required for software development. As such it is a valuable resource for new researchers interested in advances in software engineering — particularly in the area of bio-inspired techniques.

Bio-inspired Algorithms for the Vehicle Routing Problem

Bio-inspired Algorithms for the Vehicle Routing Problem
  • Author : Francisco Baptista Pereira,Jorge Tavares
  • Publisher : Springer Science & Business Media
  • Release Date : 2008-09-29
  • Total pages : 224
  • ISBN : 9783540851516
  • File Size : 30,8 Mb
  • Total Download : 793
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The vehicle routing problem (VRP) is one of the most famous combinatorial optimization problems. In simple terms, the goal is to determine a set of routes with overall minimum cost that can satisfy several geographical scattered demands. Biological inspired computation is a field devoted to the development of computational tools modeled after principles that exist in natural systems. The adoption of such design principles enables the production of problem solving techniques with enhanced robustness and flexibility, able to tackle complex optimization situations. The goal of the volume is to present a collection of state-of-the-art contributions describing recent developments concerning the application of bio-inspired algorithms to the VRP. Over the 9 chapters, different algorithmic approaches are considered and a diverse set of problem variants are addressed. Some contributions focus on standard benchmarks widely adopted by the research community, while others address real-world situations.

Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms

Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms
  • Author : Dash, Sujata,Tripathy, B.K.,Rahman, Atta ur
  • Publisher : IGI Global
  • Release Date : 2017-08-10
  • Total pages : 538
  • ISBN : 9781522528586
  • File Size : 20,9 Mb
  • Total Download : 385
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The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems. The Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms is an essential scholarly resource on current algorithms that have been inspired by the natural world. Featuring coverage on diverse topics such as cellular automata, simulated annealing, genetic programming, and differential evolution, this reference publication is ideal for scientists, biological engineers, academics, students, and researchers that are interested in discovering what models from nature influence the current technology-centric world.

Computational Linguistics, Speech And Image Processing For Arabic Language

Computational Linguistics, Speech And Image Processing For Arabic Language
  • Author : Neamat El Gayar,Ching Yee Suen
  • Publisher : World Scientific
  • Release Date : 2018-09-18
  • Total pages : 288
  • ISBN : 9789813229402
  • File Size : 15,5 Mb
  • Total Download : 114
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This book encompasses a collection of topics covering recent advances that are important to the Arabic language in areas of natural language processing, speech and image analysis. This book presents state-of-the-art reviews and fundamentals as well as applications and recent innovations.The book chapters by top researchers present basic concepts and challenges for the Arabic language in linguistic processing, handwritten recognition, document analysis, text classification and speech processing. In addition, it reports on selected applications in sentiment analysis, annotation, text summarization, speech and font analysis, word recognition and spotting and question answering.Moreover, it highlights and introduces some novel applications in vital areas for the Arabic language. The book is therefore a useful resource for young researchers who are interested in the Arabic language and are still developing their fundamentals and skills in this area. It is also interesting for scientists who wish to keep track of the most recent research directions and advances in this area.

Nature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms
  • Author : Xin-She Yang
  • Publisher : Elsevier
  • Release Date : 2014-02-17
  • Total pages : 300
  • ISBN : 9780124167452
  • File Size : 27,8 Mb
  • Total Download : 753
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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 Algorithms and Applications

Nature-Inspired Algorithms and Applications
  • Author : S. Balamurugan,Anupriya Jain,Sachin Sharma,Dinesh Goyal,Sonia Duggal,Seema Sharma
  • Publisher : John Wiley & Sons
  • Release Date : 2021-12-14
  • Total pages : 388
  • ISBN : 9781119681748
  • File Size : 42,8 Mb
  • Total Download : 632
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NATURE-INSPIRED ALGORITHMS AND APPLICATIONS The book’s unified approach of balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Inspired by the world around them, researchers are gathering information that can be developed for use in areas where certain practical applications of nature-inspired computation and machine learning can be applied. This book is designed to enhance the reader’s understanding of this process by portraying certain practical applications of nature-inspired algorithms (NIAs) specifically designed to solve complex real-world problems in data analytics and pattern recognition by means of domain-specific solutions. Since various NIAs and their multidisciplinary applications in the mechanical engineering and electrical engineering sectors; and in machine learning, image processing, data mining, and wireless networks are dealt with in detail in this book, it can act as a handy reference guide. Among the subjects of the 12 chapters are: A novel method based on TRIZ to map real-world problems to nature problems Applications of cuckoo search algorithm for optimization problems Performance analysis of nature-inspired algorithms in breast cancer diagnosis Nature-inspired computation in data mining Hybrid bat-genetic algorithm–based novel optimal wavelet filter for compression of image data Efficiency of finding best solutions through ant colony optimization techniques Applications of hybridized algorithms and novel algorithms in the field of machine learning. Audience: Researchers and graduate students in mechanical engineering, electrical engineering, machine learning, image processing, data mining, and wireless networks will find this book very useful.

Bio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies

Bio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies
  • Author : Gupta, Shweta
  • Publisher : IGI Global
  • Release Date : 2022-02-11
  • Total pages : 309
  • ISBN : 9781799895367
  • File Size : 41,8 Mb
  • Total Download : 394
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As there are no proper medical tests available to predict certain diseases such as Alzheimer’s and Parkinson’s at an early stage, there is a need to further study and consider the potential uses of bio- and nature-inspired algorithms and future technologies such as machine learning in correlation to disease detection and treatment. Bio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies considers new tools for early detection of cognitive brain diseases using devices and algorithms whose basic concept is taken from nature and discusses design, analysis, and application of various bionics or bio-inspired algorithms. Covering topics such as depression and cognitive science, this publication is an ideal resource for researchers, academicians, industry professionals, psychologists, psychiatrists, nurses, engineers, instructors, and students.

Parallel Architectures and Bioinspired Algorithms

Parallel Architectures and Bioinspired Algorithms
  • Author : Francisco Fernández de Vega,José Ignacio Hidalgo Pérez,Juan Lanchares
  • Publisher : Springer
  • Release Date : 2012-04-27
  • Total pages : 290
  • ISBN : 9783642287893
  • File Size : 15,6 Mb
  • Total Download : 451
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This monograph presents examples of best practices when combining bioinspired algorithms with parallel architectures. The book includes recent work by leading researchers in the field and offers a map with the main paths already explored and new ways towards the future. Parallel Architectures and Bioinspired Algorithms will be of value to both specialists in Bioinspired Algorithms, Parallel and Distributed Computing, as well as computer science students trying to understand the present and the future of Parallel Architectures and Bioinspired Algorithms.

Bio-Inspired Artificial Intelligence

Bio-Inspired Artificial Intelligence
  • Author : Dario Floreano,Claudio Mattiussi
  • Publisher : MIT Press
  • Release Date : 2008-08-22
  • Total pages : 674
  • ISBN : 9780262303910
  • File Size : 23,6 Mb
  • Total Download : 203
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A comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures. New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of biological structures that that are capable of autonomous self-organization. Examples of these new approaches include evolutionary computation and evolutionary electronics, artificial neural networks, immune systems, biorobotics, and swarm intelligence—to mention only a few. This book offers a comprehensive introduction to the emerging field of biologically inspired artificial intelligence that can be used as an upper-level text or as a reference for researchers. Each chapter presents computational approaches inspired by a different biological system; each begins with background information about the biological system and then proceeds to develop computational models that make use of biological concepts. The chapters cover evolutionary computation and electronics; cellular systems; neural systems, including neuromorphic engineering; developmental systems; immune systems; behavioral systems—including several approaches to robotics, including behavior-based, bio-mimetic, epigenetic, and evolutionary robots; and collective systems, including swarm robotics as well as cooperative and competitive co-evolving systems. Chapters end with a concluding overview and suggested reading.

Bio-Inspired Computation and Applications in Image Processing

Bio-Inspired Computation and Applications in Image Processing
  • Author : Xin-She Yang,João Paulo Papa
  • Publisher : Academic Press
  • Release Date : 2016-08-09
  • Total pages : 374
  • ISBN : 9780128045374
  • File Size : 49,5 Mb
  • Total Download : 410
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Bio-Inspired Computation and Applications in Image Processing summarizes the latest developments in bio-inspired computation in image processing, focusing on nature-inspired algorithms that are linked with deep learning, such as ant colony optimization, particle swarm optimization, and bat and firefly algorithms that have recently emerged in the field. In addition to documenting state-of-the-art developments, this book also discusses future research trends in bio-inspired computation, helping researchers establish new research avenues to pursue. Reviews the latest developments in bio-inspired computation in image processing Focuses on the introduction and analysis of the key bio-inspired methods and techniques Combines theory with real-world applications in image processing Helps solve complex problems in image and signal processing Contains a diverse range of self-contained case studies in real-world applications

Bio-inspired Optimization Algorithms for Engineering Applications

Bio-inspired Optimization Algorithms for Engineering Applications
  • Author : Sibylle Müller
  • Publisher : Unknown
  • Release Date : 2002
  • Total pages : 181
  • ISBN : 3832209271
  • File Size : 22,5 Mb
  • Total Download : 513
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PDF book entitled Bio-inspired Optimization Algorithms for Engineering Applications written by Sibylle Müller and published by Unknown which was released on 2002 with total hardcover pages 181, the book become popular and critical acclaim.