Advances in Soft Computing

1. Machine Learning

   1. Front Matter

      Pages 191-191

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   2. Jensen Inequality with Subdifferential for Sugeno Integral

      • Anikó Szakál, Endre Pap, Sadegh Abbaszadeh, Madjid Eshaghi Gordji

      Pages 193-199

   3. Towards a More General XCS: Classifier Fusion and Don’t Cares in Actions

      • Alejandro Garza-Cuéllar, Manuel Valenzuela-Rendón, Ricardo-Javier Parra-Álvarez

      Pages 200-210

   4. A Novel Artificial Hydrocarbon Networks Based Value Function Approximation in Hierarchical Reinforcement Learning

      • Hiram Ponce

      Pages 211-225

   5. Wind Power Forecasting for the Villonaco Wind Farm Using AI Techniques

      • Alberto Reyes, Pablo H. Ibargüengoytia, J. Diego Jijón, Tania Guerrero, Uriel A. García, Mónica Borunda

      Pages 226-236

   6. Predicting the Need of Mechanical Ventilation in Guillain-Barré Patients Using Machine Learning Algorithms with Relevant Features

      • José Hernández-Torruco, Juana Canul-Reich, Oscar Chávez-Bosquez

      Pages 237-247

   7. A Robust Machine Learning Approach to Microprocessor Instructions Identification

      • Hippolyte Djonon Tsague, Bheki Twala

      Pages 248-258

2. Classification and Clustering

   1. Front Matter

      Pages 259-259

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   2. Stochastic Semantic-Based Multi-objective Genetic Programming Optimisation for Classification of Imbalanced Data

      • Edgar Galván-López, Lucia Vázquez-Mendoza, Leonardo Trujillo

      Pages 261-272

   3. Consensus Clustering for Binning Metagenome Sequences

      • Isis Bonet, Adriana Escobar, Andrea Mesa-Múnera, Juan Fernando Alzate

      Pages 273-284

   4. Algorithm for Clustering of Web Search Results from a Hyper-heuristic Approach

      • Carlos Cobos, Andrea Duque, Jamith Bolaños, Martha Mendoza, Elizabeth León

      Pages 285-316

   5. Clustering Business Process Models Based on Multimodal Search and Covering Arrays

      • Hugo Ordoñez, Jose Torres-Jimenez, Armando Ordoñez, Carlos Cobos

      Pages 317-328

3. Optimization

   1. Front Matter

      Pages 329-329

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   2. A New Method to Optimize Dynamic Environments with Global Changes Using the Chickens-Hen’ Algorithm

      • Mostafa Zarei, Hamid Parvin, Marzieh Dadvar

      Pages 331-340

   3. Transit Network Frequencies-Setting Problem Solved Using a New Multi-Objective Global-Best Harmony Search Algorithm and Discrete Event Simulation

      • Edgar Ruano, Carlos Cobos, Jose Torres-Jimenez

      Pages 341-352

   4. Optimal Pricing Model: Case of Study for Convenience Stores

      • Laura Hervert-Escobar, Jesus Fabian López-Pérez, Oscar Alejandro Esquivel-Flores

      Pages 353-364

   5. Method of Musical Composition for the Portfolio Optimization Problem

      • Roman Anselmo Mora-Gutiérrez, Antonin Ponsich, Eric Alfredo Rincón García, Sergio Gerardo de-los-Cobos-Silva, Miguel Ángel Gutiérrez Andrade, Pedro Lara-Velázquez

      Pages 365-376

   6. Metaheuristic Hybridized Applied to Solve the Capacity Vehicle Routing Problem

      • Ernesto Liñán-García, Linda Crystal Cruz Villegas, Pascual Montes Dorantes, Gerardo Maximiliano Méndez

      Pages 377-387

   7. ABC-PSO: An Efficient Bioinspired Metaheuristic for Parameter Estimation in Nonlinear Regression

      • Sergio Gerardo de-los-Cobos-Silva, Miguel Ángel Gutiérrez Andrade, Pedro Lara-Velázquez, Eric Alfredo Rincón García, Roman Anselmo Mora-Gutiérrez, Antonin Ponsich

      Pages 388-400

4. Data Mining

   1. Front Matter

      Pages 401-401

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The two-volume set LNAI 10061 and 10062 constitutes the proceedings of the 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, held in Cancún, Mexico, in October 2016. 
The total of 86 papers presented in these two volumes was carefully reviewed and selected from 238 submissions. The contributions were organized in the following topical sections:

Part I: natural language processing; social networks and opinion mining; fuzzy logic; time series analysis and forecasting; planning and scheduling; image processing and computer vision; robotics.

Part II: general; reasoning and multi-agent systems; neural networks and deep learning; evolutionary algorithms; machine learning; classification and clustering; optimization; data mining; graph-based algorithms; and intelligent learning environments. 

• artificial intelligence
• classifiers
• clustering
• computational linguistics
• computer aided instruction
• evolutionary algorithms
• fuzzy systems
• genetic algorithms
• image processing
• intelligent agents
• learning systems
• meta heuristics
• Multi-Agent Systems (MAS)
• natural languages
• neural networks
• robotics
• semantics
• Social Networks (SN)
• Support Vector Machines (SVM)
• world wide web (WWW)

• Instituto Politécnico Nacional, Unidad Profesional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas, México DF, Mexico

  Obdulia Pichardo-Lagunas

• INFOTEC Aguascalientes, Aguascalientes, Mexico

  Sabino Miranda-Jiménez

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