Hybrid Artificial Intelligent Systems, Part II

1. Front Matter

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2. SIFT-SS: An Advanced Steady-State Multi-Objective Genetic Fuzzy System

   • Michel González, Jorge Casillas, Carlos Morell

   Pages 1-8

3. Evolving Multi-label Classification Rules with Gene Expression Programming: A Preliminary Study

   • José Luis Ávila-Jiménez, Eva Gibaja, Sebastián Ventura

   Pages 9-16

4. Solving Classification Problems Using Genetic Programming Algorithms on GPUs

   • Alberto Cano, Amelia Zafra, Sebastián Ventura

   Pages 17-26

5. Analysis of the Effectiveness of G3PARM Algorithm

   • J. M. Luna, J. R. Romero, S. Ventura

   Pages 27-34

6. Reducing Dimensionality in Multiple Instance Learning with a Filter Method

   • Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura

   Pages 35-44

7. Graphical Exploratory Analysis of Educational Knowledge Surveys with Missing and Conflictive Answers Using Evolutionary Techniques

   • Luciano Sánchez, Inés Couso, José Otero

   Pages 45-52

8. Data Mining for Grammatical Inference with Bioinformatics Criteria

   • Vivian F. López, Ramiro Aguilar, Luis Alonso, María N. Moreno, Juan M. Corchado

   Pages 53-60

9. Hybrid Multiagent System for Automatic Object Learning Classification

   • Ana Gil, Fernando de la Prieta, Vivian F. López

   Pages 61-68

10. On the Use of a Hybrid Approach to Contrast Endmember Induction Algorithms

    • Miguel A. Veganzones, Carmen Hernández

    Pages 69-76

11. Self-emergence of Lexicon Consensus in a Population of Autonomous Agents by Means of Evolutionary Strategies

    • Darío Maravall, Javier de Lope, Raúl Domínguez

    Pages 77-84

12. Enhanced Self Organized Dynamic Tree Neural Network

    • Juan F. De Paz, Sara Rodríguez, Ana Gil, Juan M. Corchado, Pastora Vega

    Pages 85-92

13. Agents and Computer Vision for Processing Stereoscopic Images

    • Sara Rodríguez, Fernando de la Prieta, Dante I. Tapia, Juan M. Corchado

    Pages 93-100

14. Incorporating Temporal Constraints in the Planning Task of a Hybrid Intelligent IDS

    • Álvaro Herrero, Martí Navarro, Vicente Julián, Emilio Corchado

    Pages 101-110

15. HERA: A New Platform for Embedding Agents in Heterogeneous Wireless Sensor Networks

    • Ricardo S. Alonso, Juan F. de Paz, Óscar García, Óscar Gil, Angélica González

    Pages 111-118

16. A Genetic Algorithm for Solving the Generalized Vehicle Routing Problem

    • P. C. Pop, O. Matei, C. Pop Sitar, C. Chira

    Pages 119-126

17. Using Cultural Algorithms to Improve Intelligent Logistics

    • Alberto Ochoa, Yazmani García, Javier Yañez, Yaddik Teymanoglu

    Pages 127-134

18. A Cultural Algorithm for the Urban Public Transportation

    • Laura Cruz Reyes, Carlos Alberto Ochoa Ortíz Zezzatti, Claudia Gómez Santillán, Paula Hernández Hernández, Mercedes Villa Fuerte

    Pages 135-142

19. Scalability of a Methodology for Generating Technical Trading Rules with GAPs Based on Risk-Return Adjustment and Incremental Training

    • E. A. de la Cal, E. M. Fernández, R. Quiroga, J. R. Villar, J. Sedano

    Pages 143-150

20. Hybrid Approach for the Public Transportation Time Dependent Orienteering Problem with Time Windows

    • Ander Garcia, Olatz Arbelaitz, Pieter Vansteenwegen, Wouter Souffriau, Maria Teresa Linaza

    Pages 151-158

th The 5 International Conference on Hybrid Artificial Intelligence Systems (HAIS 2010) has become a unique, established and broad interdisciplinary forum for researchers and practitioners who are involved in developing and applying symbolic and sub-symbolic techniques aimed at the construction of highly robust and reliable problem-solving techniques, and bringing the most relevant achievements in this field. Overcoming the rigid encasing imposed by the arising orthodoxy in the field of arti- cial intelligence, which has led to the partition of researchers into so-called areas or fields, interest in hybrid intelligent systems is growing because they give freedom to design innovative solutions to the ever-increasing complexities of real-world pr- lems. Noise and uncertainty call for probabilistic (often Bayesian) methods, while the huge amount of data in some cases asks for fast heuristic (in the sense of suboptimal and ad-hoc) algorithms able to give answers in acceptable time frames. High dim- sionality demands linear and non-linear dimensionality reduction and feature extr- tion algorithms, while the imprecision and vagueness call for fuzzy reasoning and linguistic variable formalization. Nothing impedes real-life problems to mix diffic- ties, presenting huge quantities of noisy, vague and high-dimensional data; therefore, the design of solutions must be able to resort to any tool of the trade to attack the problem. Combining diverse paradigms poses challenging problems of computational and methodological interfacing of several previously incompatible approaches. This is, thus, the setting of HAIS conference series, and its increasing success is the proof of the vitality of this exciting field.

• Argumentation
• H.264
• HAIS
• Multimedia
• bioinformatics
• cognition
• data mining
• fuzzy system
• genetic programming
• hybrid algorithms
• hybrid reasoning
• knowledge discovery
• lattice theory
• multi-agent system
• neural network
• algorithm analysis and problem complexity

• Universidad de Salamanca, Spain

  Emilio Corchado

• Facultad de informatica UPV/EHU, San Sebastian, Spain

  Manuel Graña Romay, Alexandre Manhaes Savio

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