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Publications of Author

1. Sergio Daniel Montaño-Marañón, Hugo Terashima-Marín
   Optimizing Weight and Torque of Squirrel-Cage Induction Motors Using Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
   GECCO Late Breaking Papers, 2002, pp:343-350 [Conf]
   
2. Hugo Terashima-Marín, E. J. Flores-Álvarez, Peter Ross
   Hyper-heuristics and classifier systems for solving 2D-regular cutting stock problems. [Citation Graph (0, 0)][DBLP]
   GECCO, 2005, pp:637-643 [Conf]
   
3. 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. [Citation Graph (0, 0)][DBLP]
   GECCO, 2006, pp:591-598 [Conf]
   
4. Daniel Ángel Huerta-Amante, Hugo Terashima-Marín
   Adaptive Penalty Weights When Solving Congress Timetabling. [Citation Graph (0, 0)][DBLP]
   IBERAMIA, 2004, pp:144-153 [Conf]
   
5. Emmanuel Martinez, Ramón F. Brena, Hugo Terashima-Marín
   Assessing the Value of Future and Present Options in Real-Time Planning. [Citation Graph (0, 0)][DBLP]
   IBERAMIA-SBIA, 2006, pp:522-531 [Conf]
   
6. 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. [Citation Graph (0, 0)][DBLP]
   IBERAMIA-SBIA, 2006, pp:198-207 [Conf]
   
7. Samuel Oporto-Díaz, Rolando R. Hernández-Cisneros, Hugo Terashima-Marín
   Detection of Microcalcification Clusters in Mammograms Using a Difference of Optimized Gaussian Filters. [Citation Graph (0, 0)][DBLP]
   ICIAR, 2005, pp:998-1005 [Conf]
   
8. Alberto Cuesta-Cañada, Leonardo Garrido, Hugo Terashima-Marín
   Building Hyper-heuristics Through Ant Colony Optimization for the 2D Bin Packing Problem. [Citation Graph (0, 0)][DBLP]
   KES (4), 2005, pp:654-660 [Conf]
   
9. Manuel Iván Angles-Domínguez, Hugo Terashima-Marín
   Stability Analysis for Dynamic Constraint Satisfaction Problems. [Citation Graph (0, 0)][DBLP]
   MICAI, 2004, pp:169-178 [Conf]
   
10. Rolando R. Hernández-Cisneros, Hugo Terashima-Marín
    Classification of Individual and Clustered Microcalcifications in Digital Mammograms Using Evolutionary Neural Networks. [Citation Graph (0, 0)][DBLP]
    MICAI, 2006, pp:1200-1210 [Conf]
    
11. Hugo Terashima-Marín, Juan Manuel Tavernier-Deloya, Manuel Valenzuela-Rendón
    Scheduling Transportation Events with Grouping Genetic Algorithms and the Heuristic DJD. [Citation Graph (0, 0)][DBLP]
    MICAI, 2005, pp:185-194 [Conf]
    
12. 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. [Citation Graph (0, 0)][DBLP]
    MICAI, 2005, pp:692-701 [Conf]
    
13. Peter Ross, David Corne, Hugo Terashima-Marín
    The Phase-Transition Niche for Evolutionary Algorithms in Timetabling. [Citation Graph (0, 0)][DBLP]
    PATAT, 1995, pp:309-324 [Conf]
    
14. 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. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:2182-2189 [Conf]
    
15. 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. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1436-1443 [Conf]
    
16. 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. [Citation Graph (0, 0)][DBLP]
    ICIAR, 2007, pp:911-922 [Conf]
    
17. Hugo Terashima-Marín, Armando Moran-Saavedra, Peter Ross
    Forming hyper-heuristics with GAs when solving 2D-regular cutting stock problems. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:1104-1110 [Conf]
    
18. 
    Hyper-heuristics for the dynamic variable ordering in constraint satisfaction problems. [Citation Graph (, )][DBLP]
    
    
19. 
    A new approach to fuzzy LCSs in two-dimensional continuous multistep environment with continuous vector actions. [Citation Graph (, )][DBLP]
    
    
20. 
    A neuro-evolutionary approach to produce general hyper-heuristics for the dynamic variable ordering in hard binary constraint satisfaction problems. [Citation Graph (, )][DBLP]
    
    
21. 
    uQFCS: QFCS with unfixed fuzzy sets in continuous multi-step environments with continuous vector actions. [Citation Graph (, )][DBLP]
    
    
22. 
    Problem-state representations in a hyper-heuristic approach for the 2D irregular BPP. [Citation Graph (, )][DBLP]
    
    
23. 
    Pipelining Memetic Algorithms, Constraint Satisfaction, and Local Search for Course Timetabling. [Citation Graph (, )][DBLP]
    
    
24. 
    Using Hyper-heuristics for the Dynamic Variable Ordering in Binary Constraint Satisfaction Problems. [Citation Graph (, )][DBLP]
    
    
25. 
    QFCS: A Fuzzy LCS in Continuous Multi-step Environments with Continuous Vector Actions. [Citation Graph (, )][DBLP]