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Swarm, Evolutionary, and Memetic Computing

6th International Conference, SEMCCO 2015, Hyderabad, India, December 18-19, 2015, Revised Selected Papers

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Bijaya Ketan Panigrahi

    1. IIT, New Dehli, India

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  2. Ponnuthurai Nagaratnam Suganthan

    1. Nanyang Technological University, Singapore, Singapore

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  3. Swagatam Das

    1. Indian Statistical Institute, Kolkata, India

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  4. Suresh Chandra Satapathy

    1. Department of Computer Science Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, India

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9873)

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

Included in the following conference series:

Conference proceedings info: SEMCCO 2015.

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Table of contents (25 papers)

  1. Front Matter

    Pages I-XI
    Download chapter PDF

  2. Self-adaptive Ensemble Differential Evolution with Sampled Parameter Values for Unit Commitment

    • Nandar Lynn, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan
    Pages 1-16

  3. Empirical Assessment of Human Learning Principles Inspired PSO Algorithms on Continuous Black-Box Optimization Testbed

    • M. R. Tanweer, Abdullah Al-Dujaili, S. Suresh
    Pages 17-28

  4. Visual Cryptography Based Lossless Watermarking for Sensitive Images

    • Surekha Borra, Viswanadha Raju S., Lakshmi H.R.
    Pages 29-39

  5. Cohort Intelligence and Genetic Algorithm Along with AHP to Recommend an Ice Cream to a Diabetic Patient

    • Suhas Machhindra Gaikwad, Rahul Raghvendra Joshi, Anand Jayant Kulkarni
    Pages 40-49

  6. Design, Construction and Analysis of Model Dataset for Indian Road Network and Performing Classification to Estimate Accuracy of Different Classifier with Its Comparison Summary Evaluation

    • Suwarna Gothane, M. V. Sarode, K. Srujan Raju
    Pages 50-59

  7. A Hybrid EMD-ANN Model for Stock Price Prediction

    • Dhanya Jothimani, Ravi Shankar, Surendra S. Yadav
    Pages 60-70

  8. Development of Back Propagation Neural Network (BPNN) Model to Predict Combustion Parameters of Diesel Engine

    • M. Shailaja, A. V. Sita Rama Raju
    Pages 71-83

  9. An Improved Quantum Inspired Immune Clone Optimization Algorithm

    • Annavarapu Chandra Sekhara Rao, Suresh Dara, Haider Banka
    Pages 84-91

  10. Diagnosis of Parkinson Disease Patients Using Egyptian Vulture Optimization Algorithm

    • Aditya Dixit, Alok Sharma, Ankur Singh, Anupam Shukla
    Pages 92-103

  11. Variance Based Particle Swarm Optimization for Function Optimization and Feature Selection

    • Yamuna Prasad, K. K. Biswas, M. Hanmandlu, Chakresh Kumar Jain
    Pages 104-115

  12. Analysis of Next-Generation Sequencing Data of miRNA for the Prediction of Breast Cancer

    • Indrajit Saha, Shib Sankar Bhowmick, Filippo Geraci, Marco Pellegrini, Debotosh Bhattacharjee, Ujjwal Maulik et al.
    Pages 116-127

  13. Genetic Algorithm Based Speed Control of Electric Vehicle with Electronic Differential

    • Nair R. Deepthi, J. L. Febin Daya
    Pages 128-142

  14. An Ant Colony Optimization Approach for the Dominating Tree Problem

    • Shyam Sundar, Sachchida Nand Chaurasia, Alok Singh
    Pages 143-153

  15. Multi-objective Power Dispatch Using Stochastic Fractal Search Algorithm and TOPSIS

    • Hari Mohan Dubey, Manjaree Pandit, B. K. Panigrahi, Tushar Tyagi
    Pages 154-166

  16. Particle Swarm Optimization for the Deployment of Directional Sensors

    • Pankaj Singh, S. Mini, Ketan Sabale
    Pages 167-175

  17. Region Based Multiple Features for an Effective Content Based Access Medical Image Retrieval an Integrated with Relevance Feedback Approach

    • B. Jyothi, Y. MadhaveeLatha, P. G. Krishna Mohan, V. S. K. Reddy
    Pages 176-187

  18. Robot Workcell Layout Optimization Using Firefly Algorithm

    • Akif Muhtasim Alim, S. G. Ponnambalam, G. Kanagaraj
    Pages 188-200

  19. Particle Swarm Optimization Based on the Winner’s Strategy

    • Shailendra S. Aote, M. M. Raghuwanshi, L. G. Malik
    Pages 201-213

  20. Black Hole Artificial Bee Colony Algorithm

    • Nirmala Sharma, Harish Sharma, Ajay Sharma, Jagdish Chand Bansal
    Pages 214-221
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Other volumes

  1. Swarm, Evolutionary, and Memetic Computing

Keywords

About this book

This volume constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2015, held in Hyderabad, India, in December 2015.


The 23 full papers presented in this volume were carefully reviewed and selected from 40 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.

Editors and Affiliations

  • IIT, New Dehli, India

    Bijaya Ketan Panigrahi

  • Nanyang Technological University, Singapore, Singapore

    Ponnuthurai Nagaratnam Suganthan

  • Indian Statistical Institute, Kolkata, India

    Swagatam Das

  • Department of Computer Science Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, India

    Suresh Chandra Satapathy

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