Applications of Intelligent Optimization in Biology and Medicine - Current Trends and Open Problems (Paperback, Softcover reprint of the original 1st ed. 2016)

This volume provides updated, in-depth material on the application of intelligent optimization in biology and medicine. The aim of the book is to present solutions to the challenges and problems facing biology and medicine applications. This Volume comprises of 13 chapters, including an overview chapter, providing an up-to-date and state-of-the research on the application of intelligent optimization for bioinformatics applications, DNA based Steganography, a modified Particle Swarm Optimization Algorithm for Solving Capacitated Maximal Covering Location Problem in Healthcare Systems, Optimization Methods for Medical Image Super Resolution Reconstruction and breast cancer classification. Moreover, some chapters that describe several bio-inspired approaches in MEDLINE Text Mining, DNA-Binding Proteins and Classes, Optimized Tumor Breast Cancer Classification using Combining Random Subspace and Static Classifiers Selection Paradigms, and Dental Image Registration. The book will be a useful compendium for a broad range of readers—from students of undergraduate to postgraduate levels and also for researchers, professionals, etc.—who wish to enrich their knowledge on Intelligent Optimization in Biology and Medicine and applications with one single book.  

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Intelligent Systems Reference Library, 96
Release date:	October 2016
First published:	2016
Editors:	Aboul Ella Hassanien • Crina Grosan • Mohamed Fahmy Tolba
Dimensions:	235 x 155 x 17mm (L x W x T)
Format:	Paperback
Pages:	307
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-3-319-35569-6
Categories:	Books > Computing & IT > General Books > Science & Mathematics > Science: general issues > General Books > Science & Mathematics > Biology, life sciences > Molecular biology
LSN:	3-319-35569-4
Barcode:	9783319355696

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