Efficient and deadlock-free routing is critical to the performance of networks-on-chip. In this paper we present a new selection policy that can be coupled to any adaptive routing algorithm to improve the performance in terms of average delay. The proposed approach introduce the concept of Neighbors-on-Path to exploit the situations of indecision occurring when the routing function returns seve...

Despite the fact that density effects and individual differences in life history are considered to be important for evolution, these factors lead to several difficulties in understanding the evolution of life history, especially when population sizes reach the carrying capacity. r/K selection theory explains what types of life strategies evolve in the presence of density effects and individual ...

In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a network pruning algorithm acting on MultiLayer Perceptron topology is the foundation of the feature selection strategy. Feature selection is implemented within the back-propagation learning process and based on a measur...

The quality criteria for experimental design approaches in chemoinformatics are numerous. Not only the error performance of a model resulting from the selected compounds is of importance, but also reliability, consistency, stability and robustness against small variations in the dataset or structurally diverse compounds. We developed a new stepwise, adaptive approach, DescRep, combining an iter...

In this research, an efficient Galerkin Finite Volume Method (GFVM) along with the h–refinement adaptive process and post–processing error estimation analysis is presented for fracture analysis. The adaptive strategy is used to produce more accurate solution with the least computational cost. To investigate the accuracy and efficiency of the developed model, the GFVM is compared with two versio...

The aim of this study is to analyze the robustness of the three major airline alliances’ (i.e., Star Alliance, oneworld and SkyTeam) route networks. Firstly, the normalization of a multi-scale measure of vulnerability is proposed in order to perform the analysis in networks with di↵erent sizes, i.e., number of nodes. An alternative node selection criterion is also proposed in order to study rob...

Differential evolution (DE) is a versatile and efficient evolutionary algorithm for global numerical optimization, which has been widely used in different application fields. However, different strategies have been proposed for the generation of new solutions, and the selection of which of them should be applied is critical for the DE performance, besides being problem-dependent. In this paper,...

This study investigated the relationship between main dimensions in the strategy-making process, environmental complexity, and performance in pharmaceutical companies of Iran. Results argue that pharmaceutical companies like other industries place differing emphasis on strategy-making and employ different modes of strategy-making. It offers a typology of different modes of strategy-making that ...

This study investigated the relationship between main dimensions in the strategy-making process, environmental complexity, and performance in pharmaceutical companies of Iran. Results argue that pharmaceutical companies like other industries place differing emphasis on strategy-making and employ different modes of strategy-making. It offers a typology of different modes of strategy-making that ...