Skip to main content
SpringerLink
Log in

Swarm, Evolutionary, and Memetic Computing

First International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2010, Chennai, India, December 16-18, 2010, Proceedings

  • Conference proceedings
  • © 2010

Overview

Editors:
  1. Bijaya Ketan Panigrahi

    1. Department of Electrical Engineering, Indian Institute of Technology, India

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Swagatam Das

    1. Department of Electronics and Communication Engineering, Jadavpur University, Kolkata, India

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Ponnuthurai Nagaratnam Suganthan

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Subhransu Sekhar Dash

    1. Department of Electrical and Electronics Engineering, SRM University, Chennai, India

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6466)

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

Included in the following conference series:

Conference proceedings info: SEMCCO 2010.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 119.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 159.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (86 papers)

  1. Front Matter

    Download chapter PDF

  2. Self-adaptive Differential Evolution with Modified Multi-Trajectory Search for CEC’2010 Large Scale Optimization

    • Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Swagatam Das
    Pages 1-10

  3. Differential Evolution Based Ascent Phase Trajectory Optimization for a Hypersonic Vehicle

    • Ritwik Giri, D. Ghose
    Pages 11-18

  4. Dynamic Grouping Crowding Differential Evolution with Ensemble of Parameters for Multi-modal Optimization

    • Bo Yang Qu, Pushpan Gouthanan, Ponnuthurai Nagaratnam Suganthan
    Pages 19-28

  5. Empirical Study on Migration Topologies and Migration Policies for Island Based Distributed Differential Evolution Variants

    • G. Jeyakumar, C. Shunmuga Velayutham
    Pages 29-37

  6. Differential Evolution Based Fuzzy Clustering

    • V. Ravi, Nupur Aggarwal, Nikunj Chauhan
    Pages 38-45

  7. A Population Adaptive Differential Evolution Strategy to Light Configuration Optimization of Photometric Stereo

    • B. Sathyabama, V. Divya, S. Raju, V. Abhaikumar
    Pages 46-53

  8. Solving Multi Objective Stochastic Programming Problems Using Differential Evolution

    • Radha Thangaraj, Millie Pant, Pascal Bouvry, Ajith Abraham
    Pages 54-61

  9. Multi Sensor Fusion Using Fitness Adaptive Differential Evolution

    • Ritwik Giri, Arnob Ghosh, Aritra Chowdhury, Swagatam Das
    Pages 62-70

  10. Differential Evolution Algorithm with Ensemble of Parameters and Mutation and Crossover Strategies

    • Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan
    Pages 71-78

  11. Design of Robust Optimal Fixed Structure Controller Using Self Adaptive Differential Evolution

    • S. Miruna Joe Amali, S. Baskar
    Pages 79-86

  12. Electromagnetic Antenna Configuration Optimization Using Fitness Adaptive Differential Evolution

    • Aritra Chowdhury, Arnob Ghosh, Ritwik Giri, Swagatam Das
    Pages 87-94

  13. Analyzing the Explorative Power of Differential Evolution Variants on Different Classes of Problems

    • G. Jeyakumar, C. Shanmugavelayutham
    Pages 95-102

  14. A Self Adaptive Differential Evolution Algorithm for Global Optimization

    • Pravesh Kumar, Millie Pant
    Pages 103-110

  15. Optimization for Workspace Volume of 3R Robot Manipulator Using Modified Differential Evolution

    • Bibhuti Bhusan Biswal, Sumanta Panda, Debadutta Mishra
    Pages 111-118

  16. Adaptive Differential Evolution with p-Best Crossover for Continuous Global Optimization

    • Sk Minhazul Islam, Saurav Ghosh, Subhrajit Roy, Swagatam Das
    Pages 119-128

  17. A New Particle Swarm Optimization Algorithm for Dynamic Environments

    • Masoud Kamosi, Ali B. Hashemi, M. R. Meybodi
    Pages 129-138

  18. Power Mutation Embedded Modified PSO for Global Optimization Problems

    • Pinkey Chauhan, Kusum Deep, Millie Pant
    Pages 139-146

  19. PSO Advances and Application to Inverse Problems

    • Juan Luis Fernández-Martínez, Esperanza García-Gonzalo
    Pages 147-154

  20. Adaptive and Accelerated Exploration Particle Swarm Optimizer (AAEPSO) for Solving Constrained Multiobjective Optimization Problems

    • Layak Ali, Samrat L. Sabat, Siba K. Udgata
    Pages 155-162
Back to top

Other volumes

  1. Swarm, Evolutionary, and Memetic Computing

Keywords

About this book

This LNCS volume contains the papers presented at the First Swarm, Evolutionary and Memetic Computing Conference (SEMCCO 2010) held during December 16–– 18, 2010 at SRM University, Chennai, in India. SEMCCO 2010 marked the beginning of a prestigious international conference series that aims at bringing together researchers from academia and industry to report and review the latest progress in the cutting-edge research on swarm, evolutionary, and memetic computing, to explore new application areas, to design new bio-inspired algorithms for solving specific hard optimization problems, and finally to create awareness on these domains to a wider audience of practitioners. SEMCCO 2010 received 225 paper submissions from 20 countries across the globe. After a rigorous peer-review process involving 610 reviews in total, 90 fu- length articles were accepted for oral presentation at the conference. This corresponds to an acceptance rate of 40% and is intended for maintaining the high standardsof the conference proceedings. The papers included in this LNCS volume cover a wide range of topics in swarm, evolutionary, and memetic computing algorithms and their real-world applications in problems selected from diverse domains of science and engineering.

Editors and Affiliations

  • Department of Electrical Engineering, Indian Institute of Technology, India

    Bijaya Ketan Panigrahi

  • Department of Electronics and Communication Engineering, Jadavpur University, Kolkata, India

    Swagatam Das

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

    Ponnuthurai Nagaratnam Suganthan

  • Department of Electrical and Electronics Engineering, SRM University, Chennai, India

    Subhransu Sekhar Dash

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation