Soft Computing and Medical Bioinformatics
This book highlights the applications of soft computing techniques in medical bioinformatics. It reflects the state-of-the-art research in soft computing and bioinformatics, including theory, algorithms, numerical simulations, and error and uncertainty an
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Naresh Babu Muppalaneni Maode Ma Sasikumar Gurumoorthy
Soft Computing and Medical Bioinformatics
SpringerBriefs in Applied Sciences and Technology Forensic and Medical Bioinformatics
Series editors Amit Kumar, Hyderabad, India Allam Appa Rao, Hyderabad, India
More information about this series at http://www.springer.com/series/11910
Naresh Babu Muppalaneni Maode Ma Sasikumar Gurumoorthy
Soft Computing and Medical Bioinformatics
123
Naresh Babu Muppalaneni Department of Computer Science and Systems Engineering Sree Vidyanikethan Engineering College (Autonomous) Tirupati, Andhra Pradesh India
Sasikumar Gurumoorthy Department of Computer Science and Systems Engineering Sree Vidyanikethan Engineering College (Autonomous) Tirupati, Andhra Pradesh India
Maode Ma School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore
ISSN 2191-530X ISSN 2191-5318 (electronic) SpringerBriefs in Applied Sciences and Technology ISSN 2196-8845 ISSN 2196-8853 (electronic) SpringerBriefs in Forensic and Medical Bioinformatics ISBN 978-981-13-0058-5 ISBN 978-981-13-0059-2 (eBook) https://doi.org/10.1007/978-981-13-0059-2 Library of Congress Control Number: 2018939136 © The Author(s) 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. part of Springer Nature The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
Contents
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A Novel Evolutionary Automatic Clustering Technique by Unifying Initial Seed Selection Algorithms into Teaching–Learning-Based Optimization . . . . . . . . 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 Algorithm Constituents . . . . . . . . . . . . . . . . . . . . . 1.3 Automatic Clustering Using TLBO Algori
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