Modern Advances in Applied Intelligence

27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Kaohsiung, Taiwan, June 3-6, 2014, Proceedings, Part I

Editors:

ISBN: 978-3-319-07454-2 (Print) 978-3-319-07455-9 (Online)

Table of contents (53 chapters)

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  1. Front Matter

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  2. Agent Technology

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      Pages 1-10

      Multi-agent Learning for Winner Determination in Combinatorial Auctions

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      Pages 11-20

      Agent-Based Modeling of Farming Behavior: A Case Study for Milk Quota Abolishment

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      Pages 21-31

      Multi-robot Cooperative Pathfinding: A Decentralized Approach

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      Pages 32-42

      Scheduling Patients in Hospitals Based on Multi-agent Systems

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      Pages 43-48

      Optimal Preference Clustering Technique for Scalable Multiagent Negotiation(Short Paper)

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      Pages 49-59

      Using Common Sense Invariants in Belief Management for Autonomous Agents

  3. Computational Intelligence and Applications

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      Pages 60-69

      Driving Behavior Analysis of Multiple Information Fusion Based on SVM

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      Pages 70-76

      Constructing Support Vector Machines Ensemble Classification Method for Imbalanced Datasets Based on Fuzzy Integral

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      Pages 77-86

      Distortion-Based Heuristic Sensitive Rule Hiding Method – The Greedy Way

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      Pages 87-95

      Parallelized Bat Algorithm with a Communication Strategy

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      Pages 96-105

      Compact Artificial Bee Colony

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      Pages 106-117

      A Genertic Algorithm Application on Wireless Sensor Networks

  4. Data Mining and QA Technology

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      Pages 118-127

      A New Fuzzy Support Vector Data Description Machine

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      Pages 128-137

      Answer Set Programs with One Incremental Variable

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      Pages 138-147

      Programmable Managing of Workflows in Development of Software-Intensive Systems

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      Pages 148-159

      An Answer Validation Concept Based Approach for Question Answering in Biomedical Domain

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      Pages 160-169

      Implementation of Question Answering System Based on Reference-Based Ranking Algorithm

  5. Optimization in Industrial Applications

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      Pages 170-177

      An Optimized Approach Based on Neural Network and Control Theory to Estimate Hydro-geological Parameters

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      Pages 178-187

      Heuristic Search for Scheduling Flexible Manufacturing Systems Using Multiple Heuristic Functions

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      Pages 188-197

      Developing Data-driven Models to Predict BEMS Energy Consumption for Demand Response Systems

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