Hugo Terashima-Marín

José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos: Learning vector quantization for variable ordering in constraint satisfaction problems. Pattern Recognition Letters 34(4): 423-432 (2013)

Juan Carlos Gomez, Hugo Terashima-Marín: Construyendo híper-heurísticas generales para problemas de corte multi-objetivo. Computación y Sistemas 16(3) (2012)

Jorge H. Moreno-Scott, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos: Challenging heuristics: evolving binary constraint satisfaction problems. GECCO 2012: 409-416

José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos, Ender Özcan, Andrew J. Parkes: Improving the performance of vector hyper-heuristics through local search. GECCO 2012: 1269-1276

Eunice López-Camacho, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos: The impact of the bin packing problem structure in hyper-heuristic performance. GECCO (Companion) 2012: 1545-1546

Alejandro Sosa-Ascencio, Manuel Valenzuela-Rendón, Hugo Terashima-Marín: Cooperative Coevolution of Automatically Defined Functions with Gene Expression Programming. MICAI (Special Sessions) 2012: 89-94

Alan I. Torres-Nogales, Santiago E. Conant-Pablos, Hugo Terashima-Marín: Local Features Classification for Adaptive Tracking. MICAI (1) 2012: 146-157

Dulce J. Magaña-Lozano, Santiago E. Conant-Pablos, Hugo Terashima-Marín: Exploring the Solution of Course Timetabling Problems through Heuristic Segmentation. MICAI (1) 2012: 347-358

Santiago E. Conant-Pablos, Rolando R. Hernández-Cisneros, Hugo Terashima-Marín: Feature Selection for the Classification of Microcalcifications in Digital Mammograms using Genetic Algorithms, Sequential Search and Class Separability. Genetic and Evolutionary Computation: Medical Applications 2011

Santiago Enrique Conant-Pablos, Halley Jarumy Ferrer-Soriano, Hugo Terashima-Marín: Evolving solutions of mixed-model assembly line balancing problems by chaining heuristic optimization methods: track: evolutionary combinatorial optimization and meta-heuristics. GECCO (Companion) 2011: 49-50

José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Ender Özcan, Andrew J. Parkes: On the idea of evolving decision matrix hyper-heuristics for solving constraint satisfaction problems. GECCO (Companion) 2011: 255-256

Eunice López-Camacho, Hugo Terashima-Marín, Peter Ross: A hyper-heuristic for solving one and two-dimensional bin packing problems. GECCO (Companion) 2011: 257-258

José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Peter Ross, Santiago Enrique Conant-Pablos: Evolution of neural networks topologies and learning parameters to produce hyper-heuristics for constraint satisfaction problems. GECCO (Companion) 2011: 261-262

José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago E. Conant-Pablos: Neural Networks to Guide the Selection of Heuristics within Constraint Satisfaction Problems. MCPR 2011: 250-259

José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Ender Özcan, Andrew J. Parkes, Santiago Enrique Conant-Pablos: Variable and Value Ordering Decision Matrix Hyper-heuristics: A Local Improvement Approach. MICAI (1) 2011: 125-136

Jorge Alberto Soria-Alcaraz, Carpio-Valadez J. Martin, Hugo Terashima-Marín: Academic Timetabling Design Using Hyper-Heuristics. Soft Computing for Intelligent Control and Mobile Robotics 2011: 43-56

Hugo Terashima-Marín, Peter Ross, Cláudia J. Farías Zárate, Eunice López-Camacho, Manuel Valenzuela-Rendón: Generalized hyper-heuristics for solving 2D Regular and Irregular Packing Problems. Annals OR 179(1): 369-392 (2010)

José Carlos Ortiz-Bayliss, Ender Özcan, Andrew J. Parkes, Hugo Terashima-Marín: Mapping the performance of heuristics for Constraint Satisfaction. IEEE Congress on Evolutionary Computation 2010: 1-8

Eunice López-Camacho, Hugo Terashima-Marín, Peter Ross, Manuel Valenzuela-Rendón: Problem-state representations in a hyper-heuristic approach for the 2D irregular BPP. GECCO 2010: 297-298

Eunice López-Camacho, Hugo Terashima-Marín, Peter Ross: Defining a Problem-State Representation with Data Mining within a Hyper-heuristic Model Which Solves 2D Irregular Bin Packing Problems. IBERAMIA 2010: 204-213

Juan Carlos Gomez, Hugo Terashima-Marín: Approximating Multi-Objective Hyper-Heuristics for Solving 2D Irregular Cutting Stock Problems. MICAI (2) 2010: 349-360

José Abdón Ramírez-Ruiz, Manuel Valenzuela-Rendón, Hugo Terashima-Marín: uQFCS: QFCS with unfixed fuzzy sets in continuous multi-step environments with continuous vector actions. GECCO 2009: 1307-1314

José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Peter Ross, Jorge Iván Fuentes-Rosado, Manuel Valenzuela-Rendón: A neuro-evolutionary approach to produce general hyper-heuristics for the dynamic variable ordering in hard binary constraint satisfaction problems. GECCO 2009: 1811-1812

Santiago E. Conant-Pablos, Dulce J. Magaña-Lozano, Hugo Terashima-Marín: Pipelining Memetic Algorithms, Constraint Satisfaction, and Local Search for Course Timetabling. MICAI 2009: 408-419

Hugo Terashima-Marín, José Carlos Ortiz-Bayliss, Peter Ross, Manuel Valenzuela-Rendón: Hyper-heuristics for the dynamic variable ordering in constraint satisfaction problems. GECCO 2008: 571-578

José Abdón Ramírez-Ruiz, Manuel Valenzuela-Rendón, Hugo Terashima-Marín: A new approach to fuzzy LCSs in two-dimensional continuous multistep environment with continuous vector actions. GECCO 2008: 1433-1434

Hugo Terashima-Marín, José Carlos Ortiz-Bayliss, Peter Ross, Manuel Valenzuela-Rendón: Using Hyper-heuristics for the Dynamic Variable Ordering in Binary Constraint Satisfaction Problems. MICAI 2008: 407-417

José Abdón Ramírez-Ruiz, Manuel Valenzuela-Rendón, Hugo Terashima-Marín: QFCS: A Fuzzy LCS in Continuous Multi-step Environments with Continuous Vector Actions. PPSN 2008: 286-295

Luis M. Fernandez-Carrasco, Hugo Terashima-Marín, Manuel Valenzuela-Rendón: On the possibility to design intelligent sensor systems after excitable media models: An agent-based simulation. SMC 2008: 1181-1186

Carlos D. Toledo-Suárez, Manuel Valenzuela-Rendón, Hugo Terashima-Marín, Eduardo Uresti-Charre: On the relativity in the assessment of blind optimization algorithms and the problem-algorithm coevolution. GECCO 2007: 1436-1443

Hugo Terashima-Marín, Cláudia J. Farías Zárate, Peter Ross, Manuel Valenzuela-Rendón: Comparing two models to generate hyper-heuristics for the 2d-regular bin-packing problem. GECCO 2007: 2182-2189

Rolando R. Hernández-Cisneros, Hugo Terashima-Marín, Santiago E. Conant-Pablos: Comparison of Class Separability, Forward Sequential Search and Genetic Algorithms for Feature Selection in the Classification of Individual and Clustered Microcalcifications in Digital Mammograms. ICIAR 2007: 911-922

Hugo Terashima-Marín, Cláudia J. Farías Zárate, Peter Ross, Manuel Valenzuela-Rendón: A GA-based method to produce generalized hyper-heuristics for the 2D-regular cutting stock problem. GECCO 2006: 591-598

Hugo Terashima-Marín, Cláudia J. Farías Zárate, Peter Ross, Manuel Valenzuela-Rendón: Two-Phase GA-Based Model to Learn Generalized Hyper-heuristics for the 2D-Cutting Stock Problem. IBERAMIA-SBIA 2006: 198-207

Emmanuel Martinez, Ramón F. Brena, Hugo Terashima-Marín: Assessing the Value of Future and Present Options in Real-Time Planning. IBERAMIA-SBIA 2006: 522-531

Rolando R. Hernández-Cisneros, Hugo Terashima-Marín: Classification of Individual and Clustered Microcalcifications in Digital Mammograms Using Evolutionary Neural Networks. MICAI 2006: 1200-1210

Hugo Terashima-Marín, Armando Moran-Saavedra, Peter Ross: Forming hyper-heuristics with GAs when solving 2D-regular cutting stock problems. Congress on Evolutionary Computation 2005: 1104-1110

Hugo Terashima-Marín, E. J. Flores-Álvarez, Peter Ross: Hyper-heuristics and classifier systems for solving 2D-regular cutting stock problems. GECCO 2005: 637-643

Samuel Oporto-Díaz, Rolando R. Hernández-Cisneros, Hugo Terashima-Marín: Detection of Microcalcification Clusters in Mammograms Using a Difference of Optimized Gaussian Filters. ICIAR 2005: 998-1005

Alberto Cuesta-Cañada, Leonardo Garrido, Hugo Terashima-Marín: Building Hyper-heuristics Through Ant Colony Optimization for the 2D Bin Packing Problem. KES (4) 2005: 654-660

Hugo Terashima-Marín, Juan Manuel Tavernier-Deloya, Manuel Valenzuela-Rendón: Scheduling Transportation Events with Grouping Genetic Algorithms and the Heuristic DJD. MICAI 2005: 185-194

Manuel Valenzuela-Rendón, Horacio Martinez-Alfaro, Hugo Terashima-Marín: A Deterministic Alternative to Competent Genetic Algorithms That Solves to Optimality Linearly Decomposable Non-overlapping Problems in Polynomial Time. MICAI 2005: 692-701

Alexander F. Gelbukh, Alvaro de Albornoz, Hugo Terashima-Marín (Eds.): MICAI 2005: Advances in Artificial Intelligence, 4th Mexican International Conference on Artificial Intelligence, Monterrey, Mexico, November 14-18, 2005, Proceedings. Lecture Notes in Computer Science 3789, Springer 2005, isbn 3-540-29896-7

Daniel Ángel Huerta-Amante, Hugo Terashima-Marín: Adaptive Penalty Weights When Solving Congress Timetabling. IBERAMIA 2004: 144-153

Manuel Iván Angles-Domínguez, Hugo Terashima-Marín: Stability Analysis for Dynamic Constraint Satisfaction Problems. MICAI 2004: 169-178

Stephan Dempe, Vyacheslav Kalashnikov, Hugo Terashima: Application of Discrete Bilevel Programming to Some Applied Problems. ENC 2003: 254-262

Sergio Daniel Montaño-Marañón, Hugo Terashima-Marín: Optimizing Weight and Torque of Squirrel-Cage Induction Motors Using Genetic Algorithms. GECCO Late Breaking Papers 2002: 343-350

Peter Ross, David Corne, Hugo Terashima-Marín: The Phase-Transition Niche for Evolutionary Algorithms in Timetabling. PATAT 1995: 309-324