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Applications of Intelligent Optimization in Biology and Medicine

Current Trends and Open Problems

  • Book
  • © 2016

Overview

Editors:
  1. Aboul-Ella Hassanien

    1. Information Technology Department, Cairo University, Giza, Egypt

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    You can also search for this editor in PubMed   Google Scholar

  2. Crina Grosan

    1. Department of Information Systems and Computing, Brunel University, London, United Kingdom

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    You can also search for this editor in PubMed   Google Scholar

  3. Mohamed Fahmy Tolba

    1. Faculty of Computers and information, Ain Shams University, Cairo, Egypt

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Provides up-to-date and in-depth material on the application of intelligent optimization in biology and medicine
  • Presents tools to find solutions to the challenges and problems facing biology and medical applications
  • Written by researchers and practitioners developing algorithms, systems, and applications
  • Includes supplementary material: sn.pub/extras

Part of the book series: Intelligent Systems Reference Library (ISRL, volume 96)

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. A Simplex Nelder Mead Genetic Algorithm for Minimizing Molecular Potential Energy Function

    • Ahmed Fouad Ali, Aboul-Ella Hassanien
    Pages 1-21

  3. A Survey of Metaheuristics Methods for Bioinformatics Applications

    • Ahmed Fouad Ali, Aboul-Ella Hassanien
    Pages 23-46

  4. DNA Based Steganography: Survey and Analysis for Parameters Optimization

    • Ghada Hamed, Mohammed Marey, Safaa El-Sayed, Fahmy Tolba
    Pages 47-89

  5. Dental Image Registration Using Particle Swarm Optimized for Thin Plate Splines from Semi-automatic Correspondences

    • Sara A. Ahmed
    Pages 91-115

  6. A Modified Particle Swarm Optimization Algorithm for Solving Capacitated Maximal Covering Location Problem in Healthcare Systems

    • Sahar K. ElKady, Hisham M. Abdelsalam
    Pages 117-133

  7. Optimization Methods for Medical Image Super Resolution Reconstruction

    • Marwa Moustafa, Hala M. Ebied, Ashraf Helmy, Taymoor M. Nazamy, Mohamed F. Tolba
    Pages 135-157

  8. PCA-PNN and PCA-SVM Based CAD Systems for Breast Density Classification

    • Kriti, Jitendra Virmani, Nilanjan Dey, Vinod Kumar
    Pages 159-180

  9. Retinal Blood Vessels Segmentation Based on Bio-Inspired Algorithm

    • Ahmed Hamza Asad, Aboul- Ella Hassaanien
    Pages 181-215

  10. Systematic Analysis of Applied Data Mining Based Optimization Algorithms in Clinical Attribute Extraction and Classification for Diagnosis of Cardiac Patients

    • Noreen Kausar, Sellapan Palaniappan, Brahim Belhaouari Samir, Azween Abdullah, Nilanjan Dey
    Pages 217-231

  11. Particle Swarm Optimization Based Fast Fuzzy C-Means Clustering for Liver CT Segmentation

    • Abder-Rahman Ali, Micael Couceiro, Ahmed Anter, Aboul-Ella Hassanien
    Pages 233-250

  12. Enhanced Prediction of DNA-Binding Proteins and Classes

    • Huda A. Maghawry, Mostafa G. M. Mostafa, Mohamed H. Abdul-Aziz, Tarek F. Gharib
    Pages 251-266

  13. MEDLINE Text Mining: An Enhancement Genetic Algorithm Based Approach for Document Clustering

    • Wahiba Ben Abdessalem Karaa, Amira S. Ashour, Dhekra Ben Sassi, Payel Roy, Noreen Kausar, Nilanjan Dey
    Pages 267-287

  14. Optimized Tumor Breast Cancer Classification Using Combining Random Subspace and Static Classifiers Selection Paradigms

    • Soraya Cheriguene, Nabiha Azizi, Nawel Zemmal, Nilanjan Dey, Hayet Djellali, Nadir Farah
    Pages 289-307
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Keywords

About this book

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.

 

Editors and Affiliations

  • Information Technology Department, Cairo University, Giza, Egypt

    Aboul-Ella Hassanien

  • Department of Information Systems and Computing, Brunel University, London, United Kingdom

    Crina Grosan

  • Faculty of Computers and information, Ain Shams University, Cairo, Egypt

    Mohamed Fahmy Tolba

Bibliographic Information

  • Book Title: Applications of Intelligent Optimization in Biology and Medicine

  • Book Subtitle: Current Trends and Open Problems

  • Editors: Aboul-Ella Hassanien, Crina Grosan, Mohamed Fahmy Tolba

  • Series Title: Intelligent Systems Reference Library

  • DOI: https://doi.org/10.1007/978-3-319-21212-8

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2016

  • Hardcover ISBN: 978-3-319-21211-1Published: 30 July 2015

  • Softcover ISBN: 978-3-319-35569-6Published: 15 October 2016

  • eBook ISBN: 978-3-319-21212-8Published: 18 July 2015

  • Series ISSN: 1868-4394

  • Series E-ISSN: 1868-4408

  • Edition Number: 1

  • Number of Pages: XIII, 307

  • Number of Illustrations: 53 b/w illustrations, 47 illustrations in colour

  • Topics: Computational Intelligence, Mathematical and Computational Biology, Bioinformatics

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