Applications of Intelligent Optimization in Biology and Medicine

Current Trends and Open Problems

  • Aboul-Ella Hassanien
  • Crina Grosan
  • Mohamed Fahmy Tolba

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

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Ahmed Fouad Ali, Aboul-Ella Hassanien
    Pages 23-46
  3. Ghada Hamed, Mohammed Marey, Safaa El-Sayed, Fahmy Tolba
    Pages 47-89
  4. Marwa Moustafa, Hala M. Ebied, Ashraf Helmy, Taymoor M. Nazamy, Mohamed F. Tolba
    Pages 135-157
  5. Kriti, Jitendra Virmani, Nilanjan Dey, Vinod Kumar
    Pages 159-180
  6. Ahmed Hamza Asad, Aboul- Ella Hassaanien
    Pages 181-215
  7. Noreen Kausar, Sellapan Palaniappan, Brahim Belhaouari Samir, Azween Abdullah, Nilanjan Dey
    Pages 217-231
  8. Abder-Rahman Ali, Micael Couceiro, Ahmed Anter, Aboul-Ella Hassanien
    Pages 233-250
  9. Huda A. Maghawry, Mostafa G. M. Mostafa, Mohamed H. Abdul-Aziz, Tarek F. Gharib
    Pages 251-266
  10. Wahiba Ben Abdessalem Karaa, Amira S. Ashour, Dhekra Ben Sassi, Payel Roy, Noreen Kausar, Nilanjan Dey
    Pages 267-287
  11. Soraya Cheriguene, Nabiha Azizi, Nawel Zemmal, Nilanjan Dey, Hayet Djellali, Nadir Farah
    Pages 289-307

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.



Applications of Intelligent Optimization Intelligent Optimization in Biology Intelligent Optimization in Medicine Intelligent Systems Mathematical and Computational Biology

Editors and affiliations

  • Aboul-Ella Hassanien
    • 1
  • Crina Grosan
    • 2
  • Mohamed Fahmy Tolba
    • 3
  1. 1.Information Technology DepartmentCairo UniversityGizaEgypt
  2. 2.Department of Information Systems and ComputingBrunel UniversityLondonUnited Kingdom
  3. 3.Faculty of Computers and informationAin Shams UniversityCairoEgypt

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-21211-1
  • Online ISBN 978-3-319-21212-8
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • Buy this book on publisher's site