Nature Inspired Algorithms and Applications

This book PDF is perfect for those who love Computers genre, written by S. Balamurugan and published by John Wiley & Sons which was released on 14 December 2021 with total hardcover pages 388. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Nature Inspired Algorithms and Applications books below.

Nature Inspired Algorithms and Applications
Nature Inspired Algorithms and Applications
Author : S. Balamurugan
File Size : 52,8 Mb
Publisher : John Wiley & Sons
Language : English
Release Date : 14 December 2021
ISBN : 9781119681748
Pages : 388 pages
Get Book

Nature Inspired Algorithms and Applications by S. Balamurugan Book PDF Summary

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.

Nature Inspired Algorithms and Applications

Nature Inspired Algorithms and Applications by S. Balamurugan,Anupriya Jain,Sachin Sharma,Dinesh Goyal,Sonia Duggal,Seema Sharma

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

Get Book
Nature Inspired Algorithms and Applied Optimization

Nature Inspired Algorithms and Applied Optimization by Xin-She Yang

This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring

Get Book
Metaheuristic Optimization Nature Inspired Algorithms Swarm and Computational Intelligence Theory and Applications

Metaheuristic Optimization Nature Inspired Algorithms Swarm and Computational Intelligence Theory and Applications by Modestus O. Okwu,Lagouge K. Tartibu

This book exemplifies how algorithms are developed by mimicking nature. Classical techniques for solving day-to-day problems is time-consuming and cannot address complex problems. Metaheuristic algorithms are nature-inspired optimization techniques for solving real-life complex problems. This book emphasizes the social behaviour of insects, animals and other natural entities, in terms of

Get Book
Applications of Nature Inspired Computing and Optimization Techniques

Applications of Nature Inspired Computing and Optimization Techniques by Anonim

Advances in Computers, Volume 135 highlights advances in the field, with this new volume, Applications of Nature-inspired Computing and Optimization Techniques presenting interesting chapters on a variety of timely topics, including A Brief Introduction to Nature-inspired Computing, Optimization and Applications, Overview of Non-linear Interval Optimization Problems, Solving the Aircraft Landing Problem

Get Book
Nature Inspired Optimization Algorithms

Nature Inspired Optimization Algorithms by Xin-She Yang

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,

Get Book
Nature Inspired Methods for Metaheuristics Optimization

Nature Inspired Methods for Metaheuristics Optimization by Fouad Bennis,Rajib Kumar Bhattacharjya

This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test or real-world problems. The second part of the book is especially focused on

Get Book
Nature Inspired Algorithms for Optimisation

Nature Inspired Algorithms for Optimisation by Raymond Chiong

Nature-Inspired Algorithms have been gaining much popularity in recent years due to the fact that many real-world optimisation problems have become increasingly large, complex and dynamic. The size and complexity of the problems nowadays require the development of methods and solutions whose efficiency is measured by their ability to find

Get Book
Introduction to Nature Inspired Optimization

Introduction to Nature Inspired Optimization by George Lindfield,John Penny

Introduction to Nature-Inspired Optimization brings together many of the innovative mathematical methods for non-linear optimization that have their origins in the way various species behave in order to optimize their chances of survival. The book describes each method, examines their strengths and weaknesses, and where appropriate, provides the MATLAB code

Get Book