Lapo Pauta, Carmen Mireya(Universitat Politècnica de València, 2013-01-08)
[ES] La optimización permite encontrar la mejor solución a un
problema, en términos de calidad, coste, fiabilidad o
cualquier otro criterio de utilidad; varios autores han
propuesto métodos para que el diseño de ...
Ponce Torres, Juan José(Universitat Politècnica de València, 2019-11-06)
[ES] En este trabajo de investigación se emplea algoritmos genéticos aplicados a los problemas de logística. El algoritmo es implementado para optimizar los resultados obtenidos en la distribución de productos para un grupo ...
[EN] Soft computing techniques have recently been successfully applied in the chemical engineering field for reducing both high temporal costs and financial costs. A generalist, configurable and parameterizable experimental ...
Haro Sandoval, Eduardo(Universitat Politècnica de València, 2008-10-10)
[ES] En este artículo se presenta el proceso completo de identificación del modelo de un vehículo, que abarca desde el modelado hasta la estimación experimental de los parámetros físicos. Se utiliza el modelo de la dinámica ...
Candel Peiró, Gonzalo(Universitat Politècnica de València, 2022-09-06)
[ES] A día de hoy, el trabajo en equipo se ha vuelto una parte central de muchas titulaciones de educación superior. Esto responde a una tendencia laboral, en la que una gran mayoría de proyectos complejos son resueltos ...
ABU-DAKKA, FARES JAWAD MOHD; Valero Chuliá, Francisco José; Suñer Martinez, Josep Lluis; Mata Amela, Vicente(Pozzo Gros Monti, 2012)
[EN] This paper presents a new genetic algorithm methodology to obtain a smooth trajectory planning for industrial robots in complex environments. This method aims to gradually create the collision free trajectory as the ...
ABU-DAKKA, FARES JAWAD MOHD; Rubio Montoya, Francisco José; Valero Chuliá, Francisco José; Mata Amela, Vicente(Elsevier, 2013-11)
In this paper, an indirect method for trajectory planning for industrial robots has been addressed using an evolutionary algorithm. The algorithm is divided into three stages: (1) The acquisition of Adjacent Configurations ...
Obtaining operation rules (OR) for multi-reservoir water systems through optimization and simulation processes has been an intensely studied topic. However, an innovative approach for the integration of two approaches ...
Rus, Guillermo; Palma, Roberto; Pérez-Aparicio, José L.(ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD, 2012)
[EN] A model-based inverse problem strategy is proposed for damage characterization, starting from the electromechanical response measurement as input data, and incorporating a numerical model that simulates the piezoelectric ...
Ariño Sales, Juan Francisco(Universitat Politècnica de València, 2020-10-15)
[EN] The boolean satisfiability problem is a very important problem in computer
science, affecting a great variety of fields, this work attempts to study how well
genetic algorithms perform when applied to the SAT problem ...
Lopez-Espin, Jose J; Vidal Maciá, Antonio Manuel; Gimenez, Domingo(Elsevier, 2014-01)
Simultaneous equations models can be solved with a variety of algorithms. Some methods use the QR-decomposition of several matrices associated to the equations in the system. To accelerate the computation of those ...
Branco, Rogério M.; Coelho, Antônio S.; Mayerle, Sérgio F.(Universitat Politècnica de València, 2016-07-13)
[EN] This paper discusses the application of heuristic-based evolutionary technique in search for solutions concerning the dynamic job-shop scheduling problems with dependent setup times and alternate routes. With a ...
[EN] Hybrid models have been used in many engineering applications in order to find better solutions and to reduce project costs. In this paper a methodology for the optimal design of collective working shift irrigation ...
Aguado, Alberto; Cipriano, Aldo(Universitat Politècnica de València, 2009-01-12)
[ES] La identificación en lazo cerrado de sistemas continuos es un problema de optimización no lineal que resulta de difícil solución mediante métodos convencionales. En este trabajo se propone el uso de algoritmos genéticos ...
Segarra, Juan; Martí-Campoy, Antonio(Institute of Electrical and Electronics Engineers, 2022)
[EN] In real-time systems, analyzing the worst-case execution time (WCET) of a task in the presenceof data caches is hard. The ACDC is a data cache that provides predictability, facilitating WCET analysis.It works by ...
[EN] This paper presents an improved watermarking scheme for soft Intellectual Property (IP)-Cores using Genetic Algorithms (GAs). For this purpose, a watermark signature and an IP-Core behavioral description are translated ...
[EN] The use of renewable energies is increasing around the world in order to deal with the
environmental and economic problems related with conventional generation. In this sense, photovoltaic generation is one of the ...
Blasco, Xavier; Martínez Iranzo, Miguel Andrés; Herrero Durá, Juan Manuel; Ramos Fernández, César; Sanchís Saez, Javier(Elsevier, 2007)
[EN] This work focuses on development of control algorithms by incorporating energy and water consumption to maintain climatic conditions in greenhouse.
Advanced control algorithms can supply solutions to modern ...
Parra Peña, Javier(Universitat Politècnica de València, 2016-11-10)
[EN] In this Thesis, we analyze an industry type that has two basic features: Its products are distributed in a geographic level and it reuses material after that is consumed to made new products. Because of these features, ...
[EN] Accurate and efficient battery modeling is essential to maximize the performance of isolated energy systems and to extend battery lifetime. This paper proposes a battery model that represents the charging and discharging ...