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


Nature Inspired Optimization Algorithms: Recent Advances in Natural Computing and Biomedical Applications
by Aditya Khamparia, Ashish Khanna, Bao Le Nguyen, Nhu Gia Nguyen
pages 页数: 140 pages
Edition 版本: 1
Publisher Finelybook 出版社: de Gruyter
Publication Date 出版日期: 2021-02-04
ISBN-10 书号:3110676060
ISBN-13 书号:9783110676068
The Book Description robot was collected from Amazon and arranged by Finelybook
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 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
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