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Soft Computing Models in Industrial and Environmental Applications

7th International Conference, SOCO’12, Ostrava, Czech Republic, September 5th-7th, 2012

  • Conference proceedings
  • © 2013

Overview

Editors:
  1. Václav Snášel

    1. VŠB-TU Ostrava, Ostrava, Czech Republic

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  2. Ajith Abraham

    1. (MIR Labs), Scientific Network for Innovation and, Machine Intelligence Research Labs, Auburn, USA

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  3. Emilio S. Corchado

    1. , Dept. de Informática y Automática, University of Salamanca, Salamanca, Spain

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  • Presents recent research on Soft Computing Models in Industrial and Environmental Applications
  • Proceedings of the 7th International Conference on Soft Computing Models in Industrial and Environmental Applications, held in Ostrava, Czech Republic, 5th-8th September, 2012
  • Written by leading experts in the field

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 188)

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Table of contents (55 papers)

  1. Front Matter

    Pages 1-19
    Download chapter PDF

  2. A Hybrid Discrete Differential Evolution Algorithm for Economic Lot Scheduling Problem with Time Variant Lot Sizing

    • Srinjoy Ganguly, Arkabandhu Chowdhury, Swahum Mukherjee, P. N. Suganthan, Swagatam Das, Tay Jin Chua
    Pages 1-12

  3. An Ordinal Regression Approach for the Unequal Area Facility Layout Problem

    • M. Pérez-Ortiz, L. García-Hernández, L. Salas-Morera, A. Arauzo-Azofra, C. Hervás-Martínez
    Pages 13-21

  4. A Soft Computing Approach to Knowledge Flow Synthesis and Optimization

    • Tomas Rehorek, Pavel Kordik
    Pages 23-32

  5. The Combination of Bisection Method and Artificial Bee Colony Algorithm for Solving Hard Fix Point Problems

    • P. Mansouri, B. Asady, N. Gupta
    Pages 33-41

  6. A System Learning User Preferences for Multiobjective Optimization of Facility Layouts

    • M. Pérez-Ortiz, A. Arauzo-Azofra, C. Hervás-Martínez, L. García-Hernández, L. Salas-Morera
    Pages 43-52

  7. Implementing Artificial Immune Systems for the Linear Ordering Problem

    • Pavel Krömer, Jan Platoš, Václav Snášel
    Pages 53-62

  8. Genetic Programming of Augmenting Topologies for Hypercube-Based Indirect Encoding of Artificial Neural Networks

    • Jan Drchal, Miroslav Šnorek
    Pages 63-72

  9. Master Slave LMPM Position Control Using Genetic Algorithms

    • Tatiana Radičová, Milan Žalman
    Pages 73-82

  10. An Approach of Genetic Algorithm to Model Supplier Assessment in Inbound Logistics

    • Dragan Simić, Vasa Svirčević, Svetlana Simić
    Pages 83-92

  11. Optimization of the Batch Reactor by Means of Chaos Driven Differential Evolution

    • Roman Senkerik, Donald Davendra, Ivan Zelinka, Zuzana Oplatkova, Michal Pluhacek
    Pages 93-102

  12. Differential Evolution Classifier with Optimized Distance Measures for the Features in the Data Sets

    • David Koloseni, Jouni Lampinen, Pasi Luukka
    Pages 103-111

  13. Modifications of Differential Evolution with Composite Trial Vector Generation Strategies

    • Josef Tvrdík
    Pages 113-122

  14. Multi-Objective Differential Evolution on the GPU with C-CUDA

    • Fernando Bernardes de Oliveira, Donald Davendra, Frederico Gadelha Guimarães
    Pages 123-132

  15. Competitive Differential Evolution Algorithm in Comparison with Other Adaptive Variants

    • Radka Poláková, Josef Tvrdík
    Pages 133-142

  16. Differential Evolution and Perceptron Decision Trees for Fault Detection in Power Transformers

    • A. R. R. Freitas, R. C. Pedrosa Silva, F. G. Guimarães
    Pages 143-152

  17. Multiobjective Pareto Ordinal Classification for Predictive Microbiology

    • M. Cruz-Ramírez, J. C. Fernández, A. Valero, P. A. Gutiérrez, C. Hervás-Martínez
    Pages 153-162

  18. Evaluation of Novel Soft Computing Methods for the Prediction of the Dental Milling Time-Error Parameter

    • Pavel Krömer, Tomáš Novosád, Václav Snášel, Vicente Vera, Beatriz Hernando, Laura García-Hernández et al.
    Pages 163-172

  19. Self-organizing Migration Algorithm on GPU with CUDA

    • Michal Pavlech
    Pages 173-182

  20. Urban Traffic Flow Forecasting Using Neural-Statistic Hybrid Modeling

    • M. Annunziato, F. Moretti, S. Pizzuti
    Pages 183-190
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Keywords

About this book

This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at SOCO 2012, held in the beautiful and historic city of Ostrava (Czech Republic), in September 2012.

 

Soft computing represents a collection or set of computational techniques in machine learning, computer science and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena.

 

After a through peer-review process, the SOCO 2012 International Program Committee selected 75 papers which are published in these conference proceedings, and represents an acceptance rate of 38%. In this relevant edition a special emphasis was put on the organization of special sessions. Three special sessions were organized related to relevant topics as: Soft computing models for Control Theory & Applications in Electrical Engineering, Soft computing models for biomedical signals and data processing and Advanced Soft Computing Methods in Computer Vision and Data Processing.

 

The selection of papers was extremely rigorous in order to maintain the high quality of the conference and we would like to thank the members of the Program Committees for their hard work in the reviewing process. This is a crucial process to the creation of a high standard conference and the SOCO conference would not exist without their help.

Editors and Affiliations

  • VŠB-TU Ostrava, Ostrava, Czech Republic

    Václav Snášel

  • (MIR Labs), Scientific Network for Innovation and, Machine Intelligence Research Labs, Auburn, USA

    Ajith Abraham

  • , Dept. de Informática y Automática, University of Salamanca, Salamanca, Spain

    Emilio S. Corchado

Bibliographic Information

  • Book Title: Soft Computing Models in Industrial and Environmental Applications

  • Book Subtitle: 7th International Conference, SOCO’12, Ostrava, Czech Republic, September 5th-7th, 2012

  • Editors: Václav Snášel, Ajith Abraham, Emilio S. Corchado

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-642-32922-7

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2013

  • Softcover ISBN: 978-3-642-32921-0Published: 23 August 2012

  • eBook ISBN: 978-3-642-32922-7Published: 23 August 2012

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XX, 548

  • Number of Illustrations: 187 b/w illustrations

  • Topics: Computational Intelligence, Artificial Intelligence

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