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Applications of Intelligent Optimization in Biology and Medicine: Current Trends and Open Problems

HASSANIEN, Aboul-Ella - Personal Name; GROSAN, Crina - Personal Name; TOLBA, Mohamed Fahmy - Personal Name;

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.


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Detail Information
Series Title
Intelligent Systems Reference Library
Call Number
006.3 APP a
Publisher
Cham, Switzerland : Springer Cham., 2015
Collation
XIII, 307
Language
English
ISBN/ISSN
978-3-319-21212-8
Classification
006.3
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
Ed. 1
Subject(s)
Computational Intelligence
Mathematical and Computational Biology
Specific Detail Info
-
Statement of Responsibility
Editor: Aboul-Ella Hassanien, Crina Grosan, Mohamed Fahmy Tolba
Other Information
Cataloger
umi
Source
https://link.springer.com/content/pdf/10.1007/978-3-319-21212-8.pdf?pdf=button
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Journal Volume
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