The use of phased-arrays techniques has considerably contributed to extend the domain of applications and the performances of ultrasonic methods on complex configurations. Their adaptability offers a great freedom for conceiving the inspection leading to a wide range of functionalities gathering electronic commutation, applications of different delay laws and so on. This advantage allows to cir...

In this work, we present the concept of Continuous Search, the objective of which is to allow any user to eventually get top performance from their constraint solver. Unlike previous approaches (see [9] for a recent survey), Continuous Search does not require the disposal of a large set of representative instances to properly train and learn parameters. It only assumes that once the solver runs...

The paper aims to optimise the structure of a multiple model described by output error local models. Two complementary techniques are proposed for this purpose. The first one deals with the simplification of the local model structure using a pruning approach. The second concerns the optimisation of the number of sub-models and consists in merging neighbouring models that can describe the same b...

Air pollution, saving fuel and spreading greenhouse gases are the most issues that have led to increase utilizing hybrid-electric vehicles. Energy management performances and its effectiveness is considered in these vehicles in terms of accuracy and efficiency. The aim of this paper is to investigate the suggested optimization designs for energy management system and proposed solutions are pres...

The choice of materials takes on strategic importance in design aimed at harmonising the performance characteristics and ecocompatibility of products in line with the Life-Cycle Design approach. The objective of the present study is the development of a systematic method which introduces environmental considerations in the selection of the materials used in components, meeting functional and pe...

How do people learn multisensory, or amodal, representations, and what consequences do these representations have for perceptual performance? We address this question by performing a rational analysis of the problem of learning multisensory representations. This analysis makes use of a Bayesian nonparametric model that acquires latent multisensory features that optimally explain the unisensory ...

This paper proposes an simple but yet effective approach to structured parametric controller design in a linear fractional form. The main contribution consists in using structured H∞ oriented optimization tools in an original manner to either (i) construct a parametric controller or (ii) a family of controllers with varying performances. Practical and numerical issues are also discussed to prov...

The Charged System Search (CSS) is combined to chaos to solve mathematical global optimization problems. The CSS is a recently developed meta-heuristic optimization technique inspired by the governing laws of physics and mechanics. The present study introduces chaos into the CSS in order to increase its global search mobility for a better global optimization. Nine chaos-based CSS (CCSS) methods...

performance measure approach (pma) is a method for evaluating the probabilistic constraints in reliability-based design optimization of structures. the advanced mean-value (amv) method is suitable for pma, simply and efficiently. the iterative amv scheme could be yielded to unstable solutions such as periodic-oscillation and chaos for highly nonlinear performance functions. in the present paper...

background & aim: in many medical studies, one data set is used to construct the model, and to test its performance. this approach is prone to over optimization, and leads to statistics with low chance of external validity. data splitting can be used to create training and test sets but the cost is reduction in power. the aim of this study was to demonstrate the ability of bootstrap aggregating...