Swarm, Evolutionary, and Memetic Computing, Part II: Second International Conference, SEMCCO 2011, Visakhapatnam, India, December 19-21, 2011, Proceedings, Part II | SpringerLink
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Swarm, Evolutionary, and Memetic Computing, Part II

Second International Conference, SEMCCO 2011, Visakhapatnam, India, December 19-21, 2011, Proceedings, Part II

  • Conference proceedings
  • © 2011

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Editors:
  1. Bijaya Ketan Panigrahi

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

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  2. Ponnuthurai Nagaratnam Suganthan

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

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  3. Swagatam Das

    1. Department of Electronics and Telecommunications, Jadavpur University, Kolkata, India

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  4. Suresh Chandra Satapathy

    1. ANITS, Visakhapatnam, India

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7077)

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

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Conference proceedings info: SEMCCO 2011.

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About this book

These two volumes, LNCS 7076 and LNCS 7077, constitute the refereed proceedings of the Second International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2011, held in Visakhapatnam, India, in December 2011. The 124 revised full papers presented in both volumes were carefully reviewed and selected from 422 submissions. The papers explore new application areas, feature new bio-inspired algorithms for solving specific hard optimization problems, and review the latest progresses in the cutting-edge research with swarm, evolutionary, and memetic computing in both theoretical and practical aspects.

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Table of contents (37 papers)

  1. Front Matter

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  2. Register Allocation via Graph Coloring Using an Evolutionary Algorithm

    • Sevin Shamizi, Shahriar Lotfi
    Pages 1-8

  3. A Survey on Swarm and Evolutionary Algorithms for Web Mining Applications

    • Ashok Kumar Panda, S. N. Dehuri, M. R. Patra, Anirban Mitra
    Pages 9-16

  4. Exploration Strategies for Learning in Multi-agent Foraging

    • Yogeswaran Mohan, Ponnambalam S.G.
    Pages 17-26

  5. Nurse Rostering Using Modified Harmony Search Algorithm

    • Mohammed A. Awadallah, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar, Asaju La’aro Bolaji
    Pages 27-37

  6. A Swarm Intelligence Based Algorithm for QoS Multicast Routing Problem

    • Manoj Kumar Patel, Manas Ranjan Kabat, Chita Ranjan Tripathy
    Pages 38-45

  7. Test Data Generation: A Hybrid Approach Using Cuckoo and Tabu Search

    • Krish Perumal, Jagan Mohan Ungati, Gaurav Kumar, Nitish Jain, Raj Gaurav, Praveen Ranjan Srivastava
    Pages 46-54

  8. Selection of GO-Based Semantic Similarity Measures through AMDE for Predicting Protein-Protein Interactions

    • Anirban Mukhopadhyay, Moumita De, Ujjwal Maulik
    Pages 55-62

  9. Towards Cost-Effective Bio-inspired Optimization: A Prospective Study on the GPU Architecture

    • Paula Prata, Paulo Fazendeiro, Pedro Sequeira
    Pages 63-70

  10. Cricket Team Selection Using Evolutionary Multi-objective Optimization

    • Faez Ahmed, Abhilash Jindal, Kalyanmoy Deb
    Pages 71-78

  11. Data Clustering Using Harmony Search Algorithm

    • Osama Moh’d Alia, Mohammed Azmi Al-Betar, Rajeswari Mandava, Ahamad Tajudin Khader
    Pages 79-88

  12. Application of Swarm Intelligence to a Two-Fold Optimization Scheme for Trajectory Planning of a Robot Arm

    • Tathagata Chakraborti, Abhronil Sengupta, Amit Konar, Ramadoss Janarthanan
    Pages 89-96

  13. Two Hybrid Meta-heuristic Approaches for Minimum Dominating Set Problem

    • Anupama Potluri, Alok Singh
    Pages 97-104

  14. Automatic Clustering Based on Invasive Weed Optimization Algorithm

    • Aritra Chowdhury, Sandip Bose, Swagatam Das
    Pages 105-112

  15. Classification of Anemia Using Data Mining Techniques

    • Shilpa A. Sanap, Meghana Nagori, Vivek Kshirsagar
    Pages 113-121

  16. Taboo Evolutionary Programming Approach to Optimal Transfer from Earth to Mars

    • M. Mutyalarao, A. Sabarinath, M. Xavier James Raj
    Pages 122-131

  17. Solving Redundancy Optimization Problem with a New Stochastic Algorithm

    • Chun-Xia Yang, Zhi-Hua Cui
    Pages 132-139

  18. Energy Efficient Cluster Formation in Wireless Sensor Networks Using Cuckoo Search

    • Manian Dhivya, Murugesan Sundarambal, J. Oswald Vincent
    Pages 140-147

  19. Data Clustering Based on Teaching-Learning-Based Optimization

    • Suresh Chandra Satapathy, Anima Naik
    Pages 148-156

  20. Extracting Semantically Similar Frequent Patterns Using Ontologies

    • S. Vasavi, S. Jayaprada, V. Srinivasa Rao
    Pages 157-165
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Other volumes

  1. Swarm, Evolutionary, and Memetic Computing

  2. Swarm, Evolutionary, and Memetic Computing

Editors and Affiliations

  • Department of Electrical Engineering, IIT, Delhi, India

    Bijaya Ketan Panigrahi

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

    Ponnuthurai Nagaratnam Suganthan

  • Department of Electronics and Telecommunications, Jadavpur University, Kolkata, India

    Swagatam Das

  • ANITS, Visakhapatnam, India

    Suresh Chandra Satapathy

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