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

Produk Detail:

  • 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
  • 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

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 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

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

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 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 Global Optimization

Bio-inspired Algorithms for Global Optimization
  • Author : Utsav Poudel
  • Publisher : Unknown Publisher
  • Release : 19 May 2021
GET THIS BOOKBio-inspired Algorithms for Global Optimization

There are many algorithms developed that use evolutionary concepts and biotic components of nature. These algorithms use stochastic methods rather than deterministic methods to reach an optimal solution. In this report, three of the bio-inspired algorithms are studied. Ant Colony Optimization is inspired by the food searching process of ants that has been widely used in mathematical and engineering applications. Similarly, Artificial Bee Colony is another algorithm that is based on the procedure that honey bees carry out to find

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 : 09 August 2016
GET THIS BOOKBio-Inspired Computation and Applications in Image Processing

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

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

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 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 : 12 June 2018
GET THIS BOOKBio-Inspired Algorithms in PID Controller Optimization

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.

Innovations in Bio-Inspired Computing and Applications

Innovations in Bio-Inspired Computing and Applications
  • Author : Ajith Abraham,Niketa Gandhi,Millie Pant
  • Publisher : Springer
  • Release : 21 May 2019
GET THIS BOOKInnovations in Bio-Inspired Computing and Applications

This book highlights recent research on bio-inspired computing and its various innovative applications in Information and Communication Technologies. It presents 50 high-quality papers from the 9th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2018) and 7th World Congress on Information and Communication Technologies (WICT 2018), which was held at Toc H Institute of Science and Technology (TIST) on December 17–19, 2018. IBICA-WICT 2018 was a premier conference and brought together researchers, engineers and practitioners whose work involved bio-inspired computing, computational intelligence and their

Advances in Bio-inspired Computing for Combinatorial Optimization Problems

Advances in Bio-inspired Computing for Combinatorial Optimization Problems
  • Author : Camelia-Mihaela Pintea
  • Publisher : Springer Science & Business Media
  • Release : 13 August 2013
GET THIS BOOKAdvances in Bio-inspired Computing for Combinatorial Optimization Problems

"Advances in Bio-inspired Combinatorial Optimization Problems" illustrates several recent bio-inspired efficient algorithms for solving NP-hard problems. Theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots are described. Large-scale optimization problems, for example: the Generalized Traveling Salesman Problem and the Railway Traveling Salesman Problem, are solved and their results are discussed. Some of the main concepts and models described in this book are: inner rule to guide ant search - a recent model in ant optimization, heterogeneous

Computational Vision and Bio-Inspired Computing

Computational Vision and Bio-Inspired Computing
  • Author : S. Smys,João Manuel R. S. Tavares,Valentina Emilia Balas,Abdullah M. Iliyasu
  • Publisher : Springer Nature
  • Release : 06 January 2020
GET THIS BOOKComputational Vision and Bio-Inspired Computing

This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. Due to the rapid advances in the emerging information, communication and computing technologies, the Internet of Things, cloud and edge computing, and artificial intelligence play a significant role in the computational vision context. In recent years, computational vision has contributed to enhancing the methods of controlling the operations in biological systems, like ant colony optimization, neural networks, and immune systems. Moreover, the ability of computational vision to