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Swarm, Evolutionary, and Memetic Computing

4th International Conference, SEMCCO 2013, Chennai, India, December 19-21, 2013, Proceedings, Part II

  • Conference proceedings
  • © 2013

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Editors:
  1. Bijaya Ketan Panigrahi

    1. Electrical Engineering Dept, IIT Delhi, New 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. Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India

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  4. Shubhransu Sekhar Dash

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

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8298)

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

Included in the following conference series:

Conference proceedings info: SEMCCO 2013.

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Table of contents (59 papers)

  1. Front Matter

    Download chapter PDF

  2. Critical Issues in Model-Based Surrogate Functions in Estimation of Distribution Algorithms

    • Roberto Santana, Alexander Mendiburu, Jose A. Lozano
    Pages 1-13

  3. Sandholm Algorithm with K-means Clustering Approach for Multi-robot Task Allocation

    • Murugappan Elango, Ganesan Kanagaraj, S. G. Ponnambalam
    Pages 14-22

  4. Genetic Programming for Modeling Vibratory Finishing Process: Role of Experimental Designs and Fitness Functions

    • Akhil Garg, Kang Tai
    Pages 23-31

  5. Non-fragile Robust PI Controller Design Using Co-variance Matrix Adaptation Evolutionary Strategy

    • K. Mohaideen Abdul Kadhar, S. Baskar
    Pages 32-43

  6. Meta Heuristic Approaches for Circular Open Dimension Problem

    • N. Madhu Sudana Rao, M. Aruna, S. Bhuvaneswari
    Pages 44-54

  7. Protein Function Prediction Using Adaptive Swarm Based Algorithm

    • Archana Chowdhury, Amit Konar, Pratyusha Rakshit, Ramadoss Janarthanan
    Pages 55-68

  8. Reduction of Bullwhip Effect in Supply Chain through Improved Forecasting Method: An Integrated DWT and SVM Approach

    • Sanjita Jaipuria, S. S. Mahapatra
    Pages 69-84

  9. An Ant Colony Optimization Algorithm for the Min-Degree Constrained Minimum Spanning Tree Problem

    • V. Venkata Ramana Murthy, Alok Singh
    Pages 85-94

  10. Multiobjective Differential Evolution Algorithm Using Binary Encoded Data in Selecting Views for Materializing in Data Warehouse

    • Rajib Goswami, Dhruba Kumar Bhattacharyya, Malayananda Dutta
    Pages 95-106

  11. Robust Protective Relay Setting and Coordination Using Modified Differential Evolution Considering Different Network Topologies

    • Joymala Moirangthem, Bijaya Ketan Panigrahi, K. R. Krishnanand, Sanjib Kumar Panda
    Pages 107-118

  12. Real-Coded Genetic Algorithm and Fuzzy Logic Approach for Real-Time Load-Tracking Performance of an Autonomous Power System

    • Abhik Banerjee, V. Mukherjee, S. P. Ghoshal
    Pages 119-131

  13. Short Term Load Forecasting (STLF) Using Generalized Neural Network (GNN) Trained with Adaptive GA

    • D. K. Chaturvedi, Sinha Anand Premdayal
    Pages 132-143

  14. Gene Selection Using Multi-objective Genetic Algorithm Integrating Cellular Automata and Rough Set Theory

    • Soumen Kumar Pati, Asit Kumar Das, Arka Ghosh
    Pages 144-155

  15. Fusion at Features Level in CBIR System Using Genetic Algorithm

    • Chandrashekhar G. Patil, Mahesh T. Kolte, Devendra S. Chaudhari
    Pages 156-167

  16. New Bio-inspired Meta-Heuristics - Green Herons Optimization Algorithm - for Optimization of Travelling Salesman Problem and Road Network

    • Chiranjib Sur, Anupam Shukla
    Pages 168-179

  17. A Comparative Analysis of Results of Data Clustering with Variants of Particle Swarm Optimization

    • Anima Naik, Suresh Chandra Satapathy, K. Parvathi
    Pages 180-192

  18. Hybrid Particle Swarm Optimization Technique for Protein Structure Prediction Using 2D Off-Lattice Model

    • Nanda Dulal Jana, Jaya Sil
    Pages 193-204

  19. Software Effort Estimation Using Functional Link Neural Networks Optimized by Improved Particle Swarm Optimization

    • Tirimula Rao Benala, Rajib Mall, Satchidananda Dehuri
    Pages 205-213

  20. Improved Feature Selection Based on Particle Swarm Optimization for Liver Disease Diagnosis

    • Gunasundari Selvaraj, Janakiraman S.
    Pages 214-225
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Other volumes

  1. Swarm, Evolutionary, and Memetic Computing

  2. Swarm, Evolutionary, and Memetic Computing

Keywords

About this book

The two-volume set LNCS 8297 and LNCS 8298 constitutes the proceedings of the 4th International Conference on Swarm, Evolutionary and Memetic Computing, SEMCCO 2013, held in Chennai, India, in December 2013. The total of 123 papers presented in this volume was carefully reviewed and selected for inclusion in the proceedings. They cover cutting-edge research on swarm, evolutionary and memetic computing, neural and fuzzy computing and its application.

Editors and Affiliations

  • Electrical Engineering Dept, IIT Delhi, New Delhi, India

    Bijaya Ketan Panigrahi

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

    Ponnuthurai Nagaratnam Suganthan

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

    Swagatam Das

  • SRM Engineering College, Department of Electrical and Electronics Engineering, SRM University, Kancheepuram, India

    Shubhransu Sekhar Dash

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