Πλοήγηση ανά Θέμα "Evolutionary algorithms"
Αποτελέσματα 1-13 από 13
-
Advances in truck scheduling at a cross dock facility
(2013)In this paper the authors deal with the scheduling of inbound and outbound trucks to the available inbound and outbound doors at a cross dock facility. They assume that all trucks served at the facility need to meet several ... -
A Bayesian methodology for crack identification in structures using strain measurements
(2010)A Bayesian system identification methodology is presented for estimating the crack location, size and orientation in a structure using strain measurements. The Bayesian statistical approach combines information from measured ... -
Blood flow and diameter effect in the navigation process of magnetic nanocarriers inside the carotid artery
(2022)Background and objective: Serious side effects are occurred during the cancer therapy. Magnetic driving of nanoparticles is a novel method for the elimination of these effects by supplying with anticancer drug or increase ... -
Bridging the gap between multi-objective optimization and spatial planning: a new post-processing methodology capturing the optimum allocation of land uses against established transportation infrastructure
(2017)The optimal allocation of multiple land uses constitutes a complex multi-objective optimization problem with unknown feasible objective space and optimal planning alternatives. Despite the effectiveness of evolutionary ... -
Can genetic algorithms improve trading decisions in financial markets?
(2005)Over the last years, trading systems are widely used for market assessment however parameter optimization of these systems has adopted little concern. This paper, paper provides an answer to the question Can Genetic ... -
Density based projection pursuit clustering
(2012)Clustering of high dimensional data is a very important task in Data Mining. In dealing with such data, we typically need to use methods like Principal Component Analysis and Projection Pursuit, to find interesting lower ... -
Evolutionary principal direction divisive partitioning
(2010)While data clustering has a long history and a large amount of research has been devoted to the development of clustering algorithms, significant challenges still remain. One of the most important challenges in the field ... -
Exploiting task-based parallelism in Bayesian Uncertainty Quantification
(2015)We introduce a task-parallel framework for non-intrusive Bayesian Uncertainty Quantification and Propagation of complex and computationally demanding physical models on massively parallel computing architectures. The ... -
Hydrologic processes simulation using the conceptual model Zygos: the example of Xynias drained Lake catchment (central Greece)
(2016)In the catchment of Xynias drained Lake, hydrologic processes simulation took place using a lumped approach with the conceptual model Zygos. The model implements a conceptual soil moisture accounting scheme extended with ... -
Multi-optima search using Differential Evolution and unsupervised clustering
(2013)The aim of this paper is the combination of an Evolutionary Algorithm and a Data Mining technique for the location and computation of multiple local and global optima of an objective function. To accomplish this task we ... -
Multimodal optimization using niching differential evolution with index-based neighborhoods
(2012)A new family of Differential Evolution mutation strategies (DE/nrand) that are able to handle multimodal functions, have been recently proposed. The DE/nrand family incorporates information regarding the real nearest ... -
Revisiting evolutionary information filtering
(2010)Adaptive Information Filtering seeks a solution to the problem of information overload through a tailored representation of the user's interests, called user profile, which constantly adapts to changes in them. Evolutionary ... -
Tracking differential evolution algorithms: An adaptive approach through multinomial distribution tracking with exponential forgetting
(2012)Several Differential Evolution variants with modified search dynamics have been recently proposed, to improve the performance of the method. This work borrows ideas from adaptive filter theory to develop an "online" ...