Bartak, Roman; Salido, Miguel A.(Springer Verlag (Germany), 2011)
The areas of planning and scheduling (from the Artificial Intelligence point of view) have seen important advances thanks to application of constraint satisfaction techniques. Currently, many important real-world problems ...
González-Cruz, María-Carmen; Ballesteros-Pérez, Pablo; Lucko, Gunnar; Zhang, Jing-Xiao(American Society of Civil Engineers, 2022-11-01)
[EN] Classical scheduling techniques are well-known to underestimate the average project duration, yet they remain widely used in practice due to their simplicity. In this paper, the new Critical Duration Index (CDI) is ...
Reaño González, Carlos; Peña Monferrer, Antonio José; Silla Jiménez, Federico; Duato Marín, José Francisco; Mayo Gual, Rafael; Quintana Ortí, Enrique Salvador(IEEE, 2012)
GPUs are being increasingly embraced by the high performance computing and computational communities as an effective way of considerably reducing execution time by accelerating significant parts of their application codes. ...
[EN] The data set contains the input/output data that was entered into the mathematical model to develop the case study. The data is synthetically generated and developed with an algorithm encoded in Python 3.7, the ...
[EN] The data set contains the input/output data that was entered into the mathematical model to develop the case study. The data is synthetically generated and developed with an algorithm encoded in Python 3.7, the ...
This paper describes a scheduling algorithm that composes a scheduling plan which is able to predict the
completion time of the arriving tasks. This is done by performing CPU booking. This prediction is used
to establish ...
Ferrer Sánchez, Sergio(Universitat Politècnica de València, 2017-08-29)
In Artificial Intelligence field, scheduling problems are applied to multiple real environments and its main objective is to find optimized solutions by using centralized and static search techniques. However, the reality ...
Nicolò, Giancarlo(Universitat Politècnica de València, 2017-08-29)
The goal of this TFM is to design a multiagent system for the optimization of sustainable scheduling problems in manufacturing environments. The work will have a first phase of development of the architecture for the ...
[EN] Many engineering projects fail to meet their planned completion dates in real practice. This is a recurrent topic
in the project management literature, with poor planning and controlling practices frequently cited ...
Ballesteros-Pérez, Pablo; Sanz-Ablanedo, E.; Soetanto, R.; González-Cruz, María-Carmen; Larsen, G.D.; Cerezo-Narváez, A.(American Society of Civil Engineers, 2020-01-01)
[EN] The unique nature of construction projects can mean that construction activities often suffer from duration and cost variability. Because this variability is unplanned, it can present a problem when attempting to ...
Vidal-Carreras, Pilar I.; García Sabater, José Pedro; Coronado-Hernández, Jairo R.(Elsevier, 2012-06-01)
This paper presents an algorithm to define the optimal parameters for deliberated and controlled coproduction
in an economic lot scheduling problem setting (DCCELSP). Coproduction is said to be deliberated
and controlled ...
Vallada Regalado, Eva; Villa Juliá, Mª Fulgencia; Fanjul-Peyro, Luis(Elsevier, 2019-11)
[EN] A Scatter Search algorithm together with an enriched Scatter Search and an enriched Iterated Greedy for the unrelated parallel machine problem with one additional resource are proposed in this paper. The optimisation ...
Ullah, Brar; Hussain, Irshad; Uthansakul, Peerapong; Riaz, M.; Khan, M. Naeem; Lloret, Jaime(MDPI AG, 2020-03-20)
[EN] Due to the rapid increase in human population, the use of energy in daily life is increasing day by day. One solution is to increase the power generation in the same ratio as the human population increase. However, ...
Calabuig Soler, Daniel; Monserrat del Río, José Francisco; Cardona Marcet, Narciso(Institute of Electrical and Electronics Engineers (IEEE), 2012-07)
Resource allocation in heterogeneous wireless networks is a complex problem. This letter addresses this problem maximizing the sum of logarithms of received rates. From this function, and using the Karush-Kuhn-Tucker (KKT) ...
Almost all manufacturing facilities need to use production planning and scheduling systems to increase productivity and to reduce production costs. Real-life production operations are subject to a large number of unexpected ...
Gupta, Arun; Kumar, Shailendra(Universitat Politècnica de València, 2016-07-13)
[EN] The flow-shop scheduling problem (FSP) has been widely studied in the literature and having a very active research area. Over the last few decades, a number of heuristic/meta-heuristic solution techniques have been ...
Benavides, Alexander J.; Ritt, Marcus; Miralles Insa, Cristóbal Javier(Elsevier, 2014-09-01)
We propose an extension to the flow shop scheduling problem named Heterogeneous Flow Shop
Scheduling Problem (Het-FSSP), where two simultaneous issues have to be resolved: finding the best
worker assignment to the ...
Yepes-Borrero, Juan C.; Perea, Federico; Villa Juliá, Mª Fulgencia; Vallada Regalado, Eva(Elsevier, 2023-06)
[EN] Machine scheduling problems arise in many production processes, and are something that needs to be consider when optimizing the supply chain. Among them, flowshop scheduling problems happen when a number of jobs have ...
[EN] Most construction managers use deterministic scheduling techniques to plan construction projects and estimate their duration. However, deterministic techniques are known to underestimate the project duration. Alternative ...
Castillo-Rivera, S.; De Antón, J.; del Olmo, R.; Pajares, J.; López-Paredes, A.(Universitat Politècnica de València, 2020-07-18)
[EN] Genetic Algorithms (GAs) are introduced to tackle the packing problem. The scheduling in Additive Manufacturing (AM) is also dealt with to set up a managed market, called “Lonja3D”. This will enable to determine an ...