Advertisement

© 2015

Swarm, Evolutionary, and Memetic Computing

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

  • Bijaya Ketan Panigrahi
  • Ponnuthurai Nagaratnam Suganthan
  • Swagatam Das
Conference proceedings SEMCCO 2014

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

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 8947)

Table of contents

  1. Ganghishetti Pradeep, Vadlamani Ravi, Kaushik Nandan, B. L. Deekshatulu, Indranil Bose, A. Aditya
    Pages 239-250
  2. C. Devi Arockia Vanitha, D. Devaraj, M. Venkatesulu
    Pages 264-274
  3. M. Arumuga Babu, R. Mahalakshmi, S. Kannan, M. Karuppasamypandiyan, A. Bhuvanesh
    Pages 275-283
  4. N. Karuppiah, V. Malathi, G. Selvalakshmi
    Pages 292-303
  5. Swati Dey, Subhas Ganguly, Shubhabrata Datta
    Pages 316-327
  6. Gautam Mahapatra, Soumya Banerjee, Ponnuthurai Nagaratnam Suganthan
    Pages 351-362
  7. Deepak K. Agarwalla, Amiya K. Dash, Sambit K. Bhuyan, P. S. K. Nayak
    Pages 363-372
  8. S. Sarkar, S. Paul, R. Burman, S. Das, S. S. Chaudhuri
    Pages 386-395
  9. Soumi Dutta, Moumita Roy, Asit Kumar Das, Saptarshi Ghosh
    Pages 409-420
  10. Sunanda Das, Arka Ghosh, Asit Kumar Das
    Pages 421-431
  11. Manoranjan Parhi, Binod Kumar Pattanayak, Manas Ranjan Patra
    Pages 432-444

About these proceedings

Introduction

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.

Keywords

Artificial neural networks Character recognition Classification Clustering Data mining Evolutionary algorithms Fuzzy logic Genetic algorithms Heuristic optimization Hybrid algorithm Image segmentation Machine learning Modeling Multi-agent system Multi-objective optimization Online social network Particle swarm optimization QoS Swarm intelligence Text mining

Editors and affiliations

  • Bijaya Ketan Panigrahi
    • 1
  • Ponnuthurai Nagaratnam Suganthan
    • 2
  • Swagatam Das
    • 3
  1. 1.Department of Electrical EngineeringIITNew DelhiIndia
  2. 2.School of Electrical and Electronic EngineeringNanyang Technological UniversitySingaporeSingapore
  3. 3.Electronics and Communication Sciences UnitIndian Statistical InstituteKolkataIndia

Bibliographic information