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Simulated Evolution and Learning

8th International Conference, SEAL 2010, Kanpur, India, December 1-4, 2010, Proceedings

  • Conference proceedings
  • © 2010

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Editors:
  1. Kalyanmoy Deb

    1. Department of Mechanical Engineering, Indian Institute of Technology Kanpur, Kanpur, India

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  2. Arnab Bhattacharya

    1. Department of Computer Science andl Engineering, Indian Institute of Technology Kanpur, Kanpur, India

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  3. Nirupam Chakraborti

    1. Department of Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India

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  4. Partha Chakroborty

    1. Department of Civil Engineering, Indian Institute of Technology Kanpur, Kanpur, India

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  5. Swagatam Das

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

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  6. Joydeep Dutta

    1. Department of Mathematics and Statistics, Indian Institute of Technology Kanpur, Kanpur, India

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  7. Santosh K. Gupta

    1. Department of Chemical Engineering, Indian Institute of Technology Kanpur, Kanpur, India

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  8. Ashu Jain

    1. Department of Civil Engineering, Indian Institute of Technology Kanpur, Kanpur, India

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  9. Varun Aggarwal

    1. Aspiring Minds, New Delhi, India

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  10. Jürgen Branke

    1. Warwick Business School, University of Warwick, Coventry, UK

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  11. Sushil J. Louis

    1. Department of Computer Science and Engineering, University of Nevada, Reno, USA

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  12. Kay Chen Tan

    1. Department of Electrical and Computer Engineering, National University of Singapore, Singapore

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6457)

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

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Conference proceedings info: SEAL 2010.

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Table of contents (80 papers)

  1. Evolutionary Algorithms and Applications

    1. UNIFAC Group Interaction Prediction for Ionic Liquid-Thiophene Based Systems Using Genetic Algorithm

      • Surya Pratap Singh, Ramalingam Anantharaj, Tamal Banerjee
      Pages 195-204

    2. HIER-HEIR: An Evolutionary System with Hierarchical Representation and Operators Applied to Fashion Design

      • Abhinav Malhotra, Varun Aggarwal
      Pages 205-214

    3. A Population Diversity-Oriented Gene Expression Programming for Function Finding

      • Ruochen Liu, Qifeng Lei, Jing Liu, Licheng Jiao
      Pages 215-219

  2. Learning Methodologies

    1. Evolutionary Optimization of Catalysts Assisted by Neural-Network Learning

      • Martin Holeňa, David Linke, Uwe Rodemerck
      Pages 220-229

    2. Dominance-Based Pareto-Surrogate for Multi-Objective Optimization

      • Ilya Loshchilov, Marc Schoenauer, Michèle Sebag
      Pages 230-239

    3. Learning Cellular Automata Rules for Pattern Reconstruction Task

      • Anna Piwonska, Franciszek Seredynski
      Pages 240-249

    4. Evolving Fuzzy Rules: Evaluation of a New Approach

      • Adam Ghandar, Zbigniew Michalewicz, Frank Neumann
      Pages 250-259

    5. A Niched Genetic Programming Algorithm for Classification Rules Discovery in Geographic Databases

      • Marconi de Arruda Pereira, Clodoveu Augusto Davis Júnior, João Antônio de Vasconcelos
      Pages 260-269

    6. Artificial Neural Network Modeling for Estimating the Depth of Penetration and Weld Bead Width from the Infra Red Thermal Image of the Weld Pool during A-TIG Welding

      • S. Chokkalingham, N. Chandrasekhar, M. Vasudevan
      Pages 270-278

    7. Swarm Reinforcement Learning Method Based on an Actor-Critic Method

      • Hitoshi Iima, Yasuaki Kuroe
      Pages 279-288

    8. XCS Revisited: A Novel Discovery Component for the eXtended Classifier System

      • Nugroho Fredivianus, Holger Prothmann, Hartmut Schmeck
      Pages 289-298

    9. Supplanting Neural Networks with ODEs in Evolutionary Robotics

      • Paul Grouchy, Gabriele M. T. D’Eleuterio
      Pages 299-308

    10. Parallel Distributed Implementation of Genetics-Based Machine Learning for Fuzzy Classifier Design

      • Yusuke Nojima, Shingo Mihara, Hisao Ishibuchi
      Pages 309-318

    11. Multi-Objective Evolutionary Algorithms for Feature Selection: Application in Bankruptcy Prediction

      • António Gaspar-Cunha, Fernando Mendes, João Duarte, Armando Vieira, Bernardete Ribeiro, André Ribeiro et al.
      Pages 319-328

    12. Tile Pasting P System with Multiple-Edge Pasting

      • T. Robinson, Atulya K. Nagar, S. Jebasingh
      Pages 329-338

    13. Modeling and Automation of Diagnosis and Treatment of Diabetes

      • Abhirami Baskaran, Dhivya Karthikeyan, Anusha T. Swamy
      Pages 339-348

    14. The Evolution of Fuzzy Classifier for Data Mining with Applications

      • Václav Snášel, Pavel Krömer, Jan Platoš, Ajith Abraham
      Pages 349-358

    15. PID Step Response Using Genetic Programming

      • Marcus Henrique Soares Mendes, Gustavo Luís Soares, João Antônio de Vasconcelos
      Pages 359-368

    16. Divide and Evolve Driven by Human Strategies

      • Markus Borschbach, Christian Grelle, Sascha Hauke
      Pages 369-373

    17. A Genetic Algorithm for Assigning Individuals to Populations Using Multi-locus Genotyping

      • Avnish K. Bhatia, Monika Sodhi, Dinesh K. Yadav, B. Prakash
      Pages 374-378
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  1. Simulated Evolution and Learning

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Editors and Affiliations

  • Department of Mechanical Engineering, Indian Institute of Technology Kanpur, Kanpur, India

    Kalyanmoy Deb

  • Department of Computer Science andl Engineering, Indian Institute of Technology Kanpur, Kanpur, India

    Arnab Bhattacharya

  • Department of Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India

    Nirupam Chakraborti

  • Department of Civil Engineering, Indian Institute of Technology Kanpur, Kanpur, India

    Partha Chakroborty, Ashu Jain

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

    Swagatam Das

  • Department of Mathematics and Statistics, Indian Institute of Technology Kanpur, Kanpur, India

    Joydeep Dutta

  • Department of Chemical Engineering, Indian Institute of Technology Kanpur, Kanpur, India

    Santosh K. Gupta

  • Aspiring Minds, New Delhi, India

    Varun Aggarwal

  • Warwick Business School, University of Warwick, Coventry, UK

    Jürgen Branke

  • Department of Computer Science and Engineering, University of Nevada, Reno, USA

    Sushil J. Louis

  • Department of Electrical and Computer Engineering, National University of Singapore, Singapore

    Kay Chen Tan

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