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Bio Inspired Algorithms For Engineering

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Bio inspired Algorithms for Engineering

Bio inspired Algorithms for Engineering Book
Author : Nancy Arana-Daniel,Carlos Lopez-Franco,Alma Y. Alanis
Publisher : Butterworth-Heinemann
Release : 2018-02-03
ISBN : 0128137894
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Stephan Olariu,Albert Y. Zomaya
Publisher : CRC Press
Release : 2005-09-29
ISBN : 1420035061
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Xin-She Yang,Zhihua Cui,Renbin Xiao,Amir Hossein Gandomi,Mehmet Karamanoglu
Publisher : Newnes
Release : 2013-05-16
ISBN : 0124051774
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Shangce Gao
Publisher : BoD – Books on Demand
Release : 2012-03-07
ISBN : 9535102141
Language : En, Es, Fr & De

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Book Description :

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 Computing for Image and Video Processing

Bio Inspired Computing for Image and Video Processing Book
Author : D. P. Acharjya,V. Santhi
Publisher : CRC Press
Release : 2018-01-02
ISBN : 1351649833
Language : En, Es, Fr & De

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Book Description :

In recent years bio-inspired computational theories and tools have developed to assist people in extracting knowledge from high dimensional data. These differ in how they take a more evolutionary approach to learning, as opposed to traditional artificial intelligence (AI) and what could be described as 'creationist' methods. Instead bio-inspired computing takes a bottom-up, de-centralized approach that often involves the method of specifying a set of simple rules, a set of simple organisms which adhere to those rules, and of iteratively applying those rules. Bio-Inspired Computing for Image and Video Processing covers interesting and challenging new theories in image and video processing. It addresses the growing demand for image and video processing in diverse application areas, such as secured biomedical imaging, biometrics, remote sensing, texture understanding, pattern recognition, content-based image retrieval, and more. This book is perfect for students following this topic at both undergraduate and postgraduate level. It will also prove indispensable to researchers who have an interest in image processing using bio-inspired computing.

Bio Inspired Computing and Applications

Bio Inspired Computing and Applications Book
Author : De-Shuang Huang,Yong Gan,Prashan Premaratne,Kyungsook Han
Publisher : Springer Science & Business Media
Release : 2012-01-03
ISBN : 3642245528
Language : En, Es, Fr & De

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Book Description :

The three-volume set LNCS 6838, LNAI 6839, and LNBI 6840 constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Intelligent Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. This volume contains 93 revised full papers, from a total of 281 presentations at the conference - carefully reviewed and selected from 832 initial submissions. The papers address all issues in Advanced Intelligent Computing, especially Methodologies and Applications, including theories, methodologies, and applications in science and technology. They include a range of techniques such as artificial intelligence, pattern recognition, evolutionary computing, informatics theories and applications, computational neuroscience and bioscience, soft computing, human computer interface issues, etc.

Artificial Intelligence and Knowledge Engineering Applications A Bioinspired Approach

Artificial Intelligence and Knowledge Engineering Applications  A Bioinspired Approach Book
Author : José Mira,José R. Álvarez
Publisher : Springer Science & Business Media
Release : 2005-06-13
ISBN : 3540263195
Language : En, Es, Fr & De

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Book Description :

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 Fault Tolerant Algorithms for Network on Chip

Bio Inspired Fault Tolerant Algorithms for Network on Chip Book
Author : Muhammad Athar Javed Sethi
Publisher : CRC Press
Release : 2020-03-17
ISBN : 100004811X
Language : En, Es, Fr & De

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Book Description :

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 Algorithms for the Vehicle Routing Problem

Bio inspired Algorithms for the Vehicle Routing Problem Book
Author : Francisco Baptista Pereira,Jorge Tavares
Publisher : Springer
Release : 2008-09-10
ISBN : 3540851526
Language : En, Es, Fr & De

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Book Description :

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 - mands. A ?eet of vehicles located in one or more depots is available to ful?ll the requests. A large number of variants exist, adding di?erent constraints to the original de?nition. Some examples are related to the number of depots, the ordering for visiting the customers or to time windows specifying a desirable period to arrive to a given location. The original version of this problem was proposed by Dantzig and Ramser in 1959 [1]. In their seminal paper, the authors address the calculation of a set of optimal routes for a ?eet of gasoline delivery trucks. Since then, the VRP has attractedtheattentionofalargenumberofresearchers.Aconsiderablepartofits success is a consequence of its practical interest, as it resembles many real-world problems faced everyday by distribution and transportation companies, just to mention a few applications areas. In this context, the development of e?cient optimization techniques is crucial. They are able to provide new and enhanced solutionstologisticoperations,andmaythereforeleadtoasubstantialreduction in costs for companies. Additionally, and from a research oriented perspective, the VRP is a challenging NP-hard problem providing excellent benchmarks to access the e?ciency of new global optimization algorithms.

Bio inspired Algorithms for the Vehicle Routing Problem

Bio inspired Algorithms for the Vehicle Routing Problem Book
Author : Francisco Baptista Pereira,Jorge Tavares
Publisher : Springer Science & Business Media
Release : 2008-09-29
ISBN : 3540851518
Language : En, Es, Fr & De

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Book Description :

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.

Bio Inspired Algorithms in PID Controller Optimization

Bio Inspired Algorithms in PID Controller Optimization Book
Author : Jagatheesan Kallannan,Anand Baskaran,Nilanjan Dey,Amira S. Ashour
Publisher : CRC Press
Release : 2018-06-12
ISBN : 0429943385
Language : En, Es, Fr & De

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Book Description :

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

Bioinspired Computation in Combinatorial Optimization

Bioinspired Computation in Combinatorial Optimization Book
Author : Frank Neumann,Carsten Witt
Publisher : Springer Science & Business Media
Release : 2010-11-04
ISBN : 3642165443
Language : En, Es, Fr & De

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Book Description :

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.

Nature Inspired Optimization Algorithms

Nature Inspired Optimization Algorithms Book
Author : Xin-She Yang
Publisher : Elsevier
Release : 2014-02-17
ISBN : 0124167454
Language : En, Es, Fr & De

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Book Description :

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

Bio Inspired Computation in Telecommunications

Bio Inspired Computation in Telecommunications Book
Author : Xin-She Yang,Su Fong Chien,T.O. Ting
Publisher : Morgan Kaufmann
Release : 2015-02-11
ISBN : 0128017430
Language : En, Es, Fr & De

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Book Description :

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.

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 Book
Author : Dash, Sujata,Tripathy, B.K.,Rahman, Atta ur
Publisher : IGI Global
Release : 2017-08-10
ISBN : 152252858X
Language : En, Es, Fr & De

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Book Description :

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.

A Journey Towards Bio inspired Techniques in Software Engineering

A Journey Towards Bio inspired Techniques in Software Engineering Book
Author : Jagannath Singh,Saurabh Bilgaiyan,Bhabani Shankar Prasad Mishra,Satchidananda Dehuri
Publisher : Springer Nature
Release : 2020-03-11
ISBN : 3030409287
Language : En, Es, Fr & De

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Book Description :

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 Computation and Applications in Image Processing

Bio Inspired Computation and Applications in Image Processing Book
Author : Xin-She Yang,João Paulo Papa
Publisher : Academic Press
Release : 2016-08-09
ISBN : 012804537X
Language : En, Es, Fr & De

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Book Description :

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

Computational Linguistics Speech And Image Processing For Arabic Language

Computational Linguistics  Speech And Image Processing For Arabic Language Book
Author : Neamat El Gayar,Ching Yee Suen
Publisher : World Scientific
Release : 2018-09-18
ISBN : 9813229403
Language : En, Es, Fr & De

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Book Description :

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.

Bio inspired Optimization Algorithms for Engineering Applications

Bio inspired Optimization Algorithms for Engineering Applications Book
Author : Sibylle Müller
Publisher : Unknown
Release : 2002
ISBN : 9783832209278
Language : En, Es, Fr & De

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Book Description :

Download Bio inspired Optimization Algorithms for Engineering Applications book written by Sibylle Müller, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Nature Inspired Computing and Optimization

Nature Inspired Computing and Optimization Book
Author : Srikanta Patnaik,Xin-She Yang,Kazumi Nakamatsu
Publisher : Springer
Release : 2017-03-07
ISBN : 3319509209
Language : En, Es, Fr & De

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Book Description :

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.