Hybrid Artificial Intelligent Systems

1. Front Matter

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2. Hybrid Intelligent System on Logistics and Intelligent Optimization

   1. Outlier Analysis for Plastic Card Fraud Detection a Hybridized and Multi-Objective Approach

      • Arturo Elías, Alberto Ochoa-Zezzatti, Alejandro Padilla, Julio Ponce

      Pages 1-9

   2. Comparative Analysis of Recombination Operators in Genetic Algorithms for the Travelling Salesman Problem

      • Anca Gog, Camelia Chira

      Pages 10-17

   3. Multiple Local Searches to Balance Intensification and Diversification in a Memetic Algorithm for the Linear Ordering Problem

      • Héctor Joaquín Fraire Huacuja, Guadalupe Castilla Valdez, Claudia G. Gómez Santillan, Juan Javier González Barbosa, Rodolfo A. Pazos R., Shulamith S. Bastiani Medina et al.

      Pages 18-25

   4. Enhancing Accuracy of Hybrid Packing Systems through General-Purpose Characterization

      • Laura Cruz-Reyes, Claudia Gómez-Santillán, Satu Elisa Schaeffer, Marcela Quiroz-Castellanos, Victor M. Alvarez-Hernández, Verónica Pérez-Rosas

      Pages 26-33

3. Metaheuristics for Combinatorial Optimization and Modelling Complex Systems

   1. Improving Classification Performance of BCIs by Using Stationary Common Spatial Patterns and Unsupervised Bias Adaptation

      • Wojciech Wojcikiewicz, Carmen Vidaurre, Motoaki Kawanabe

      Pages 34-41

   2. A Simple Proactive Provider Participation Technique in a Mesh-Based Peer-to-Peer Streaming Service

      • Darío Padula, María Elisa Bertinat, Franco Robledo Amoza, Pablo Rodríguez-Bocca, Pablo Romero

      Pages 42-50

   3. Modelling Non-stationarities in EEG Data with Robust Principal Component Analysis

      • Javier Pascual, Motoaki Kawanabe, Carmen Vidaurre

      Pages 51-58

   4. Performance Evaluation of Road Traffic Control Using a Fuzzy Cellular Model

      • Bartłomiej Płaczek

      Pages 59-66

   5. An Improved Heuristic for the Bandwidth Minimization Based on Genetic Programming

      • P. C. Pop, O. Matei

      Pages 67-74

   6. About Inducing Simple Emergent Behavior in Large Cournot Games by Using Crowding Based Differential Evolution

      • Rodica Ioana Lung

      Pages 75-83

   7. An Study of the Tree Generation Algorithms in Equation Based Model Learning with Low Quality Data

      • Alba Berzosa, José R. Villar, Javier Sedano, Marco García-Tamargo, Enrique de la Cal

      Pages 84-91

4. Hybrid Systems for Context-Based Information Fusion

   1. RT-MLR: A Hybrid Framework for Context-Aware Systems

      • Pablo Rangel, José G. de Carvalho Jr., Milton R. Ramirez, Jano M. de Souza

      Pages 92-99

   2. DAFNE – A Distributed and Adaptive Fusion Engine

      • Maarten Ditzel, Sebastiaan van den Broek, Patrick Hanckmann, Miranda van Iersel

      Pages 100-109

   3. Context Representation and Fusion via Likelihood Masks for Target Tracking

      • Lauro Snidaro, Ingrid Visentini, Gian Luca Foresti

      Pages 110-117

   4. Adaptive Data Fusion for Air Traffic Control Surveillance

      • Juan A. Besada, Guillermo Frontera, Ana M. Bernardos, Gonzalo de Miguel

      Pages 118-126

   5. Dynamic Channel Model LMS Updating for RSS-Based Localization

      • Paula Tarrío, Ana M. Bernardos, Xian Wang, José R. Casar

      Pages 127-135

   6. Improving the Accuracy of Action Classification Using View-Dependent Context Information

      • Rodrigo Cilla, Miguel A. Patricio, Antonio Berlanga, José M. Molina

      Pages 136-143

   7. A General Purpose Context Reasoning Environment to Deal with Tracking Problems: An Ontology-Based Prototype

      • Miguel A. Serrano, Miguel A. Patricio, Jesús García, José M. Molina

      Pages 144-154

5. Methods of Classifiers Fusion

   1. Accuracy Updated Ensemble for Data Streams with Concept Drift

      • Dariusz Brzeziński, Jerzy Stefanowski

      Pages 155-163

The two LNAI volumes 6678 and 6679 constitute the proceedings of the 6th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2011, held in Wroclaw, Poland, in May 2011. The 114 papers published in these proceedings were carefully reviewed and selected from 241 submissions. They are organized in topical sessions on hybrid intelligence systems on logistics and intelligent optimization; metaheuristics for combinatorial optimization and modelling complex systems; hybrid systems for context-based information fusion; methods of classifier fusion; intelligent systems for data mining and applications; systems, man, and cybernetics; hybrid artificial intelligence systems in management of production systems; hybrid artificial intelligent systems for medical applications; and hybrid intelligent approaches in cooperative multi-robot systems.

• genetic algorithms
• image classification
• knowledge engineering
• machine learning
• support vector machines
• algorithm analysis and problem complexity

• GICAP Research Group, University of Burgos, Burgos, Spain

  Emilio Corchado

• Wroclaw University of Technology, Wroclaw, Poland

  Marek Kurzyński, Michał Woźniak

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