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Swarm, Evolutionary, and Memetic Computing

5th International Conference, SEMCCO 2014, Bhubaneswar, India, December 18-20, 2014, Revised Selected Papers

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Bijaya Ketan Panigrahi

    1. Department of Electrical Engineering, IIT, New Delhi, India

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  2. Ponnuthurai Nagaratnam Suganthan

    1. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

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    You can also search for this editor in PubMed   Google Scholar

  3. Swagatam Das

    1. Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8947)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: SEMCCO 2014.

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Table of contents (74 papers)

  1. Front Matter

    Pages I-XVII
    Download chapter PDF

  2. Differential Evolution with Two Subpopulations

    • Nandar Lynn, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan
    Pages 1-13

  3. Intelligent Water Drops Algorithm for Multimodal Spaces

    • Harish Y., Venkateshwarlu B., Chakravarthi Jada, Kranthi Kumar R., Irfan Feroz G.
    Pages 14-26

  4. Glowworm Swarm Based Informative Attribute Selection Using Support Vector Machines for Simultaneous Feature Selection and Classification

    • Aniket Gurav, Vinay Nair, Utkarsh Gupta, Jayaraman Valadi
    Pages 27-37

  5. TLBO Based Hybrid Forecasting Model for Prediction of Exchange Rates

    • Anindita Dutta, Minakhi Rout, Babita Majhi
    Pages 38-48

  6. A Comparative Study of Two Types of Fuzzy Logic Controllers for Shunt Active Power Filters

    • D. A. Gadanayak, Irani Majumder
    Pages 49-61

  7. A Quantum Behaved Particle Swarm Approach for Multi-response Optimization of WEDM Process

    • Bijaya Bijeta Nayak, Siba Sankar Mahapatra
    Pages 62-73

  8. A Particle Swarm Approach Embedded with Numerical Analysis for Multi-response Optimization in Electrical Discharge Machining

    • Chinmaya P. Mohanty, Manas Ranjan Singh, Siba Sankar Mahapatra, Suman Chatterjee
    Pages 74-87

  9. Biological Data Analysis Using Hybrid Functional Link Artificial Neural Network

    • Manaswini Jena, Rasmita Dash, Bijan Bihari Misra
    Pages 88-97

  10. R-HV: A Metric for Computing Hyper-volume for Reference Point Based EMOs

    • Kalyanmoy Deb, Florian Siegmund, Amos H. C. Ng
    Pages 98-110

  11. Performance Comparison of Supervised Machine Learning Algorithms for Multiclass Transient Classification in a Nuclear Power Plant

    • Manas Ranjan Prusty, Jaideep Chakraborty, T. Jayanthi, K. Velusamy
    Pages 111-122

  12. Evaluating Internet Information Search Channels Using Hybrid MCDM Technique

    • Gaurav Khatwani, Oshin Anand, Arpan Kumar Kar
    Pages 123-133

  13. A Hybrid Artificial Bee Colony Algorithm for the Terminal Assignment Problem

    • Jayalakshmi Banda, Alok Singh
    Pages 134-144

  14. Image Restoration with Fuzzy Coefficient Driven Anisotropic Diffusion

    • V.B. Surya Prasath, R. Delhibabu
    Pages 145-155

  15. Optimum Design of Rolling Element Bearing

    • S. Panda, T. Mohanty, D. Mishra, B. B. Biswal
    Pages 156-163

  16. Principal Component Analysis and General Regression Auto Associative Neural Network Hybrid as One-Class Classifier

    • Vadlamani Ravi, Ranabir De
    Pages 164-175

  17. Text Classification Using Ensemble Features Selection and Data Mining Techniques

    • B. Shravankumar, Vadlamani Ravi
    Pages 176-186

  18. Solving University Examination Timetabling Problem Using Intelligent Water Drops Algorithm

    • Bashar A. Aldeeb, Norita Md Norwawi, Mohammed A. Al-Betar, Mohd Zalisham Bin Jali
    Pages 187-200

  19. A Novel Hybrid Algorithm for Discovering Motifs from Financial Time Series

    • Dadabada Pradeepkumar, Maneesh Bhunwal, Vadlamani Ravi
    Pages 201-211

  20. A Novel ELM K-Means Algorithm for Clustering

    • Abobakr Khalil Alshamiri, Bapi Raju Surampudi, Alok Singh
    Pages 212-222
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  1. Swarm, Evolutionary, and Memetic Computing

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About this book

This volume constitutes the thoroughly refereed post-conference proceedings of the 5th International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2014, held in Bhubaneswar, India, in December 2014.

The total of 96 papers presented in this volume was carefully reviewed and selected from 250 submissions for inclusion in the proceedings. The papers cover a wide range of topics in swarm, evolutionary, memetic and other intelligent computing algorithms and their real world applications in problems selected from diverse domains of science and engineering.

Editors and Affiliations

  • Department of Electrical Engineering, IIT, New Delhi, India

    Bijaya Ketan Panigrahi

  • School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Ponnuthurai Nagaratnam Suganthan

  • Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India

    Swagatam Das

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