Artificial Intelligence and Soft Computing

1. Front Matter

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2. Evolutionary Algorithms and Their Applications

   1. Global Induction of Oblique Model Trees: An Evolutionary Approach

      • Marcin Czajkowski, Marek Kretowski

      Pages 1-11

   2. Genetic Cost Optimization of the GI/M/1/N Finite-Buffer Queue with a Single Vacation Policy

      • Marcin Gabryel, Robert K. Nowicki, Marcin Woźniak, Wojciech M. Kempa

      Pages 12-23

   3. Hybrid Genetic-Fuzzy Algorithm for Variable Selection in Spectroscopy

      • Telma Woerle de Lima, Anderson da Silva Soares, Clarimar José Coelho, Rogério Lopes Salvini, Gustavo Teodoro Laureano

      Pages 24-35

   4. Multiple Choice Strategy – A Novel Approach for Particle Swarm Optimization – Preliminary Study

      • Michal Pluhacek, Roman Senkerik, Ivan Zelinka

      Pages 36-45

   5. Method of Handling Constraints in Differential Evolution Using Fletcher’s Filter

      • Wojciech Rafajłowicz

      Pages 46-55

   6. Chaos Driven Differential Evolution with Lozi Map in the Task of Chemical Reactor Optimization

      • Roman Senkerik, Donald Davendra, Ivan Zelinka, Michal Pluhacek, Zuzana Kominkova Oplatkova

      Pages 56-66

   7. Application of Geometric Differential Evolution Algorithm to Design Minimal Phase Digital Filters with Atypical Characteristics for Their Hardware or Software Implementation

      • Adam Slowik

      Pages 67-78

   8. Bio-inspired Optimization of Thermomechanical Structures

      • Mirosław Szczepanik, Arkadiusz Poteralski, Adam Długosz, Wacław Kuś, Tadeusz Burczyński

      Pages 79-90

   9. Some Aspects of Evolutionary Designing Optimal Controllers

      • Jacek Szczypta, Andrzej Przybył, Krzysztof Cpałka

      Pages 91-100

   10. The Niching Mechanism in the Evolutionary Method of Path Planning

       • Roman Śmierzchalski, Piotr Kolendo, Lukasz Kuczkowski, Bartosz Jaworski, Anna Witkowska

       Pages 101-112

   11. New Algorithm for Evolutionary Selection of the Dynamic Signature Global Features

       • Marcin Zalasiński, Krystian Łapa, Krzysztof Cpałka

       Pages 113-121

   12. On the Performance of Master-Slave Parallelization Methods for Multi-Objective Evolutionary Algorithms

       • Alexandru-Ciprian Zăvoianu, Edwin Lughofer, Werner Koppelstätter, Günther Weidenholzer, Wolfgang Amrhein, Erich Peter Klement

       Pages 122-134

3. Data Mining

   1. TRCM: A Methodology for Temporal Analysis of Evolving Concepts in Twitter

      • Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic Stahl

      Pages 135-145

   2. Identifying Uncertain Galaxy Morphologies Using Unsupervised Learning

      • Kieran Jay Edwards, Mohamed Medhat Gaber

      Pages 146-157

   3. Kernel Estimation of Regression Functions in the Boundary Regions

      • Tomasz Gałkowski

      Pages 158-166

   4. Instance Selection in Logical Rule Extraction for Regression Problems

      • Mirosław Kordos, Szymon Białka, Marcin Blachnik

      Pages 167-175

   5. On Perturbation Measure of Clusters: Application

      • Maciej Krawczak, Grażyna Szkatuła

      Pages 176-183

   6. Using Topology Preservation Measures for Multidimensional Intelligent Data Analysis in the Reduced Feature Space

      • Szymon Łukasik, Piotr Kulczycki

      Pages 184-193

   7. HRoBi – The Algorithm for Hierarchical Rough Biclustering

      • Marcin Michalak, Magdalena Stawarz

      Pages 194-205

The two-volume set LNAI 7894 and LNCS 7895 constitutes the refereed proceedings of the 12th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2013, held in Zakopane, Poland in June 2013. The 112 revised full papers presented together with one invited paper were carefully reviewed and selected from 274 submissions. The 56 papers included in the second volume are organized in the following topical sections: evolutionary algorithms and their applications; data mining; bioinformatics and medical applications; agent systems, robotics and control; artificial intelligence in modeling and simulation; and various problems of artificial intelligence.

• bio-inspired techniques
• genetic algorithms
• interacting agents
• particle swarm optimization
• visualization

• Częstochowa University of Technology, Częstochowa, Poland

  Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer

• AGH University of Science and Technology, Kraków, Poland

  Ryszard Tadeusiewicz

• Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, USA

  Lotfi A. Zadeh

• Electrical and Computer Engineering, University of Louisville, Louisville, USA

  Jacek M. Zurada

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