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This paper presents a new double hybridized genetic algorithm for optimizing the variable order in Reduced Ordered Binary Decision Diagrams. The first hybridization adopts embryonic chromosomes as prefixes of variable orders instead of complete variable or ...
The aim of this paper is to explore a new approach to obtain better traffic demand (Origin-Destination, OD matrices) in case of dense urban networks. To improve the global process of OD demand estimation, this paper is focussing on a new methodology to exe ...
Localization in the presence of malicious beacon nodes is an important problem in wireless networks. Although significant progress has been made on this problem, some fundamental theoretical questions still remain unanswered: in the presence of malicious b ...
Many different methods exist for pattern detection in gene expression data. In contrast to classical methods, biclustering has the ability to cluster a group of genes together with a group of conditions (replicates, set of patients, or drug compounds). How ...
This paper presents a heuristic for supporting the transition from material flow analysis to material flow management. The heuristic combines material flow analysis with a newly developed method, structural agent analysis (SAA). The latter is based on Gidd ...
The proposed heuristic combines a variable neighborhood search (VNS) framework with a local search performed by a trust-region algorithm. The curvature of the function is exploited to generate the neighborhoods. Numerical results illustrate an excellent be ...
The aim of this paper is to explore a new approach to obtain better traffic demand (Origin-Destination, OD matrices) in dense urban networks. From reviewing actual methods, for static and dynamic OD matrix evaluation, possible deficiencies in the approach ...
The aim of this paper is to explore a new approach to obtain better traffic demand (Origin-Destination, OD matrices) for dense urban networks. From reviewing existing methods, from static to dynamic OD matrix evaluation, possible deficiencies in the approa ...
The lecture will consist in two parts. First, recent advances in discrete choice models will be presented and motivated. The estimation of these advanced models involves the maximization of a nonlinear, nonconcave loglikelihood function. The nonconcavity o ...
In message-passing parallel applications, messages are not delivered in a strict order. The number of messages, their content and their destination may depend on the ordering of their delivery. Nevertheless, for most applications, the computation results s ...