We propose a new framework for the optimization of computationally expensive black box problems, where neither closed-form expressions nor derivatives of the objective functions are available. The proposed framework consists of two procedures. The first constructs a global metamodel to approximate the underlying black box function and explores an unvisited area to search for a global solution; ...

abstractaccidents and natural disasters and crises coming out of them indicate the importance of an integrated planning to reduce their effected. therefore, disaster relief logistics is one of the main activities in disaster management. in this paper, we study the response phase of the disaster management cycle and a bi-objective model has been developed for relief chain logistic in uncertainty...

This paper proposes a new method that extends the Efficient Global Optimization to address stochastic black-box systems. The method is based on a kriging meta-model that provides a global prediction of the objective values and a measure of prediction uncertainty at every point. The criterion for the infill sample selection is an augmented Expected Improvement function with desirable properties ...

This paper presents a new hybrid global optimization method referred to as DESA. The algorithm exploits random sampling and the metropolis criterion from simulated annealing to perform global search. The population of points and efficient search strategy of differential evolution are used to speed up the convergence. The algorithm is easy to implement and has only a few parameters. The theoreti...

The Within-Cluster Sum of Squares (WCSS) is the most used criterion in cluster analysis. Optimizing this criterion is proved to be NP-Hard and has been studied by different communities. On the other hand, Constrained Clustering allowing to integrate previous user knowledge in the clustering process has received much attention this last decade. As far as we know, there is a single approach that ...

Cytogenetic abnormalities are important diagnostic and prognostic criteria for acute myeloid leukemia (AML). A flow cytometry-based imaging approach for FISH in suspension (FISH-IS) was established that enables the automated analysis of several log-magnitude higher number of cells compared to the microscopy-based approaches. The rotational positioning can occur leading to discordance between sp...

In this article, we present a new multivariate analysis method for the analysis of fMRI data. This method tries to capture the deterministic structure present in the time series, using either an autoregressive scheme or the knowledge of the experimental paradigm, so that the interpretation of the spatiotemporal patterns is achieved in parallel with their detection. In the spatial domain, the co...

Image segmentation is one of the most important and fundamental tasks in image processing and techniques based on image thresholding are typically simple and computationally efficient. However, the image segmentation results depend heavily on the chosen image thresholding methods. In this paper, histogram is integrated with the Parzen window technique to estimate the spatial probability distrib...

This paper offers and tests an approach to conceptualizing the global competency of engineers. It begins by showing that the often-stated goal of working effectively with different cultures is fundamentally about learning to work effectively with people who define problems differently. The paper offers a minimum learning criterion for global competency and three learning outcomes whose achievem...

In this paper, we consider the problem of global robust stability for cellular neural networks which have time-varying delay and parametric uncertainties. Using the Lyapunov method and linear matrix inequality (LMI) framework, the delay-dependent criterion is presented in terms of LMIs. Two numerical examples are presented to illustrate the effectiveness of our result. 2005 Elsevier Ltd. All ri...