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 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. This book presents a collection of state-of-the-art contributions describing recent developments concerning the application of bio-inspired algorithms to the VRP.

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 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 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

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

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
  • Release : 26 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

Biologically Inspired Algorithms for Financial Modelling

Biologically Inspired Algorithms for Financial Modelling
  • Author : Anthony Brabazon,Michael O'Neill
  • Publisher : Springer Science & Business Media
  • Release : 28 March 2006
GET THIS BOOKBiologically Inspired Algorithms for Financial Modelling

Predicting the future for financial gain is a difficult, sometimes profitable activity. The focus of this book is the application of biologically inspired algorithms (BIAs) to financial modelling. In a detailed introduction, the authors explain computer trading on financial markets and the difficulties faced in financial market modelling. Then Part I provides a thorough guide to the various bioinspired methodologies – neural networks, evolutionary computing (particularly genetic algorithms and grammatical evolution), particle swarm and ant colony optimization, and immune systems. Part

Bio-Inspired Computation in Telecommunications

Bio-Inspired Computation in Telecommunications
  • Author : Xin-She Yang,Su Fong Chien,T.O. Ting
  • Publisher : Morgan Kaufmann
  • Release : 11 February 2015
GET THIS BOOKBio-Inspired Computation in Telecommunications

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.

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

Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction

Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction
  • Author : Jesus Soto,Patricia Melin,Oscar Castillo
  • Publisher : Springer
  • Release : 19 November 2017
GET THIS BOOKEnsembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction

This book focuses on the fields of hybrid intelligent systems based on fuzzy systems, neural networks, bio-inspired algorithms and time series. This book describes the construction of ensembles of Interval Type-2 Fuzzy Neural Networks models and the optimization of their fuzzy integrators with bio-inspired algorithms for time series prediction. Interval type-2 and type-1 fuzzy systems are used to integrate the outputs of the Ensemble of Interval Type-2 Fuzzy Neural Network models. Genetic Algorithms and Particle Swarm Optimization are the Bio-Inspired

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 Evolutionary Algorithms for Multi-objective Optimization Applied to Engineering Applications

Bio-inspired Evolutionary Algorithms for Multi-objective Optimization Applied to Engineering Applications
  • Author : Sandra DeBruyne
  • Publisher : Unknown Publisher
  • Release : 23 July 2021
GET THIS BOOKBio-inspired Evolutionary Algorithms for Multi-objective Optimization Applied to Engineering Applications

Although conventional mathematical methods for finding solutions to engineering applications have been around for many years, these methods are often quite computationally intensive when searching for an optimal solution. The idea of utilizing mathematically modeled animal hunting behaviors to find optimal solution sets to these types of problems is a relatively new field. These hunting behaviors, when incorporated into computerized optimization algorithms, have been shown in the literature to achieve results faster than other methods and return more accurate solutions