ListarLCC - Contribuciones a congresos científicos por tema "Algoritmos computacionales"
Mostrando ítems 1-8 de 8
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A Study About Meta-Optimizing the NSGA-II Multi-Objective Evolutionary Algorithm.
Aldana Martín, José Francisco; Nebro-Urbaneja, Antonio Jesús
; Durillo, Juan J.; Roldán-García, María del Mar (2023)
The automatic design of multi-objective metaheuristics is an active research line aimed at, given a set of problems used as training set, to find the configuration of a multi-objective optimizer able of solving them ... -
Built-in Variant Generation and Unification, and Their Applications in Maude 2.7
(2017)This paper introduces some novel features of Maude 2.7. We have added support for: (i) built-in order-sorted unification modulo associativity, commutativity, and identity, (ii) built-in variant generation, (iii) built-in ... -
Efficient Hill Climber for Constrained Pseudo-Boolean Optimization Problems
Chicano-García, José-Francisco; Whitley, L. Darrell; Tinós, Renato (2016-09-09)
Efficient hill climbers have been recently proposed for single- and multi-objective pseudo-Boolean optimization problems. For $k$-bounded pseudo-Boolean functions where each variable appears in at most a constant number ... -
Estudio de Estrategias de Archivo en PSO Multi-Objetivo para el Docking Molecular
López-Camacho, Esteban; García Godoy, María Jesús; García-Nieto, José Manuel; Nebro-Urbaneja, Antonio Jesús; Aldana-Montes, José Francisco (2016)
El acoplamiento molecular es un problema de optimización complejo cuyo objetivo es la predicción de la posición de un ligando en el sitio activo de un receptor con la mínima energía de unión. Este problema puede ser formulado ... -
Generación automática de contenido para un nuevo juego basado en el problema de los tres cuerpos
Este trabajo presenta un algoritmo de generaci ón de contenido por procedimientos capaz de crear mapas completos para un videojuego que simula fenómenos fí sicos. El algoritmo evolutivo desarrollado intenta mejorar la ... -
Local Optima Networks, Landscape Autocorrelation and Heuristic Search Performance
Chicano-García, José-Francisco; Daolio, Fabio; Ochoa, Gabriela; Verel, Sébastien; Tomassini, Marco; Alba-Torres, Enrique[et al.] (2014-10-06)
Recent developments in fitness landscape analysis include the study of Local Optima Networks (LON) and applications of the Elementary Landscapes theory. This paper represents a first step at combining these two tools to ... -
Solving Scheduling Problems with Genetic Algorithms using a Priority Encoding Scheme
Subirats, J.L.; Mesa, Héctor; Ortega-Zamorano, Francisco; Juárez, G.E.; Jerez-Aragonés, José Manuel; Turias, Ignacio; Franco, Leonardo[et al.] (2017-06-26)
Scheduling problems are very hard computational tasks with several applications in multitude of domains. In this work we solve a practical problem motivated by a real industry situation, in which we apply a genetic algorithm ... -
Using Self-Adaptive Evolutionary Algorithms to Evolve Dynamism-Oriented Maps for a Real Time Strategy Game
Lara-Cabrera, Raúl; Cotta-Porras, Carlos; Fernández-Leiva, Antonio José (Springer-Verlag, 2013)
This work presents a procedural content generation system that uses an evolutionary algorithm in order to generate interesting maps for a real-time strategy game, called Planet Wars. Interestingness is here captured by the ...