Nature-Inspired Optimization Algorithms: Recent Advances in Natural Computing and Biomedical Applications

Published by De Gruyter 2021

Nature-Inspired Optimization Algorithms

Recent Advances in Natural Computing and Biomedical Applications

Edited by: Aditya Khamparia , Ashish Khanna , Nhu Gia Nguyen and Bao Le Nguyen

Volume 4 in the series Intelligent Biomedical Data Analysis

https://doi.org/10.1515/9783110676112

Overview
Contents

About this book

This book will focus on the involvement of data mining and intelligent computing methods for recent advances in Biomedical applications and algorithms of nature-inspired computing for Biomedical systems. The proposed meta heuristic or nature-inspired techniques should be an enhanced, hybrid, adaptive or improved version of basic algorithms in terms of performance and convergence metrics. In this exciting and emerging interdisciplinary area a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems.

Today, analysis and processing of data is one of big focuses among researchers community and information society. Due to evolution and knowledge discovery of natural computing, related meta heuristic or bio-inspired algorithms have gained increasing popularity in the recent decade because of their significant potential to tackle computationally intractable optimization dilemma in medical, engineering, military, space and industry fields. The main reason behind the success rate of nature inspired algorithms is their capability to solve problems. The nature inspired optimization techniques provide adaptive computational tools for the complex optimization problems and diversified engineering applications.

Tentative Table of Contents/Topic Coverage:　

- Neural Computation

- Evolutionary Computing Methods

- Neuroscience driven AI Inspired Algorithms

- Biological System based algorithms

- Hybrid and Intelligent Computing Algorithms

- Application of Natural Computing

- Review and State of art analysis of Optimization algorithms

- Molecular and Quantum computing applications

- Swarm Intelligence

- Population based algorithm and other optimizations

Merges intelligent computing and nature-inspired technology for biomedical applications.

Author / Editor information

A. Khamparia, Lovely Professional Univ.; A. Khanna, M. Agrasen Inst. of Techn., India; N. Nhu, B. Nguyen, Duy Tan University, Vietnam.

Topics

Frontmatter Publicly Available Download PDF	I
Preface Publicly Available Download PDF	V
Contents Publicly Available Download PDF	IX
About the editors Publicly Available Download PDF	XI
List of contributors Publicly Available Download PDF	XIII
1 Selecting and assessing the importance of malware analysis methods for web-based biomedical services through fuzzy-based decision-making procedure Rajeev Kumar, Raees Ahmad Khan, Abhishek Kumar Pandey, Ashutosh Tripathi and Alka Agrawal Requires Authentication Unlicensed Licensed Download PDF	1
2 A medical intelligent system for diagnosis of chronic kidney disease using adaptive neuro-fuzzy inference system Jimmy Singla and Balwinder Kaur Requires Authentication Unlicensed Licensed Download PDF	19
3 Contrast enhancement approach for satellite images using hybrid fusion technique and artificial bee colony optimization Rahul Malik, Sagar Pande, Aditya Khamparia and Bharat Bhushan Requires Authentication Unlicensed Licensed Download PDF	33
4 Role of intelligent IoT applications in fog computing Gunturu Harika, Arun Malik and Isha Batra Requires Authentication Unlicensed Licensed Download PDF	55
5 Energy-efficient routing employing neural networks along with vector-based pipeline in underwater wireless sensor networks Reeta Bhardwaj, Harpreet Kaur and Rajeev Kumar Requires Authentication Unlicensed Licensed Download PDF	71
6 A review of global optimization problems using meta-heuristic algorithm D. K. Mishra and Vikas Shinde Requires Authentication Unlicensed Licensed Download PDF	87
7 Secure indexing and storage of big data Poonam Kumari, Amit Kumar Mishra, Vivek Sharma and Ramakant Bhardwaj Requires Authentication Unlicensed Licensed Download PDF	107
8 Genetic algorithm and normalized text feature based document classification Vishal Sahu, Amit Kumar Mishra, Vivek Sharma and Ramakant Bhardwaj Requires Authentication Unlicensed Licensed Download PDF	123
9 Nature-inspired optimization techniques Pratyush Shukla, Sanjay Kumar Singh, Aditya Khamparia and Anjali Goyal Requires Authentication Unlicensed Licensed Download PDF	137
Index Requires Authentication Unlicensed Licensed Download PDF	153

(Deutsch)

Language: English
Publisher: De Gruyter
Audience: Researchers and PhD students in engineering and medical institutes, diagnostic centers, consultancy and hospital industry.
Pages
- Front matter: 14
- Main content: 154
Illustrations
- Illustrations: 25
- Coloured Illustrations: 29
- Tables: 20
Keywords: Algorithmus; Big Data; Künstliche Intelligenz; Maschinelles Lernen

eBook

Published: February 8, 2021
ISBN: 9783110676112

Hardcover

Published: February 8, 2021
ISBN: 9783110676068