Bio inspired Algorithms for Engineering

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

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  • Author : Nancy Arana-Daniel
  • Publisher : Butterworth-Heinemann
  • Pages : 152 pages
  • ISBN : 0128137894
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKBio inspired Algorithms for Engineering

Bio-inspired Algorithms for Engineering

Bio-inspired Algorithms for Engineering
  • Author : Nancy Arana-Daniel,Carlos Lopez-Franco,Alma Y. Alanis
  • Publisher : Butterworth-Heinemann
  • Release : 03 February 2018
GET THIS BOOKBio-inspired Algorithms for Engineering

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

Bio-Inspired Computing for Image and Video Processing

Bio-Inspired Computing for Image and Video Processing
  • Author : D. P. Acharjya,V. Santhi
  • Publisher : CRC Press
  • Release : 02 January 2018
GET THIS BOOKBio-Inspired Computing for Image and Video Processing

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

Handbook of Bioinspired Algorithms and Applications

Handbook of Bioinspired Algorithms and Applications
  • Author : Stephan Olariu,Albert Y. Zomaya
  • Publisher : CRC Press
  • Release : 29 September 2005
GET THIS BOOKHandbook of Bioinspired Algorithms and Applications

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

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 : 10 August 2017
GET THIS BOOKHandbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms

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

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 : 16 May 2013
GET THIS BOOKSwarm Intelligence and Bio-Inspired Computation

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

Bio-Inspired Computing for Information Retrieval Applications

Bio-Inspired Computing for Information Retrieval Applications
  • Author : Acharjya, D.P.,Mitra, Anirban
  • Publisher : IGI Global
  • Release : 14 February 2017
GET THIS BOOKBio-Inspired Computing for Information Retrieval Applications

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

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 : 29 September 2008
GET THIS BOOKBio-inspired Algorithms for the Vehicle Routing Problem

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

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 : 18 September 2018
GET THIS BOOKComputational Linguistics, Speech And Image Processing For Arabic Language

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

Bio-Inspired Computational Algorithms and Their Applications

Bio-Inspired Computational Algorithms and Their Applications
  • Author : Shangce Gao
  • Publisher : BoD – Books on Demand
  • Release : 07 March 2012
GET THIS BOOKBio-Inspired Computational Algorithms and Their Applications

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

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 : 17 March 2020
GET THIS BOOKBio-Inspired Fault-Tolerant Algorithms for Network-on-Chip

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

Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis

Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis
  • Author : Patricia Melin,Ivette Miramontes,German Prado Arechiga
  • Publisher : Springer Nature
  • Release : 14 August 2022
GET THIS BOOKNature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis

This book describes the utilization of different soft computing techniques and their optimization for providing an accurate and efficient medical diagnosis. The proposed method provides a precise and timely diagnosis of the risk that a person has to develop a particular disease, but it can be adaptable to provide the diagnosis of different diseases. This book reflects the experimentation that was carried out, based on the different optimizations using bio-inspired algorithms (such as bird swarm algorithm, flower pollination algorithms, and

Nature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms
  • Author : Xin-She Yang
  • Publisher : Elsevier
  • Release : 17 February 2014
GET THIS BOOKNature-Inspired Optimization Algorithms

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

Bio-Inspired Computing for Image and Video Processing

Bio-Inspired Computing for Image and Video Processing
  • Author : D. P. Acharjya,V. Santhi
  • Publisher : CRC Press
  • Release : 02 January 2018
GET THIS BOOKBio-Inspired Computing for Image and Video Processing

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

Bio-inspired Algorithms for the Vehicle Routing Problem

Bio-inspired Algorithms for the Vehicle Routing Problem
  • Author : Francisco Baptista Pereira,Jorge Tavares
  • Publisher : Springer
  • Release : 10 September 2008
GET THIS BOOKBio-inspired Algorithms for the Vehicle Routing Problem

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

Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing

Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing
  • Author : Simon James Fong,Richard C. Millham
  • Publisher : Springer Nature
  • Release : 25 August 2020
GET THIS BOOKBio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing

This book aims to provide some insights into recently developed bio-inspired algorithms within recent emerging trends of fog computing, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to the big data management from pre-processing to analytics to visualization phases. The subject area of this book is within the realm of computer science, notably algorithms (meta-heuristic and, more particularly, bio-inspired algorithms). Although application domains of these new algorithms may be mentioned, the scope of this