© 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. Front Matter
    Pages I-XVII
  2. Nandar Lynn, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan
    Pages 1-13
  3. Harish Y., Venkateshwarlu B., Chakravarthi Jada, Kranthi Kumar R., Irfan Feroz G.
    Pages 14-26
  4. Anindita Dutta, Minakhi Rout, Babita Majhi
    Pages 38-48
  5. Chinmaya P. Mohanty, Manas Ranjan Singh, Siba Sankar Mahapatra, Suman Chatterjee
    Pages 74-87
  6. Manaswini Jena, Rasmita Dash, Bijan Bihari Misra
    Pages 88-97
  7. Kalyanmoy Deb, Florian Siegmund, Amos H. C. Ng
    Pages 98-110
  8. Gaurav Khatwani, Oshin Anand, Arpan Kumar Kar
    Pages 123-133
  9. V.B. Surya Prasath, R. Delhibabu
    Pages 145-155
  10. S. Panda, T. Mohanty, D. Mishra, B. B. Biswal
    Pages 156-163
  11. Bashar A. Aldeeb, Norita Md Norwawi, Mohammed A. Al-Betar, Mohd Zalisham Bin Jali
    Pages 187-200
  12. Dadabada Pradeepkumar, Maneesh Bhunwal, Vadlamani Ravi
    Pages 201-211
  13. Abobakr Khalil Alshamiri, Bapi Raju Surampudi, Alok Singh
    Pages 212-222

About these proceedings


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.


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