Emergency departments (EDs) have been becoming increasingly congested due to the combined impacts of growing demand, access block and increased clinical capability of the EDs. This congestion has known to have adverse impacts on the performance of the healthcare services. Attempts to overcome with this challenge have focussed largely on the demand management and the application of system wide p...

An Active Robust Optimisation Problem (AROP) aims at finding robust adaptable solutions, i.e. solutions that actively gain robustness to environmental changes through adaptation. Existing AROP studies have considered only a single performance objective. This study extends the Active Robust Optimisation methodology to deal with problems with more than one objective. Once multiple objectives are ...

a novel approach to determine optimal sampling locations under parameter uncertainty in a water distribution system (wds) for the purpose of its hydraulic model calibration is presented. the problem is formulated as a multi-objective optimisation problem under calibration parameter uncertainty. the objectives are to maximise the calibrated model accuracy and to minimise the number of sampling d...

ABSTRACT In this paper, a method of a Multiobjective Optimisation based on Chebytshev’s method and Genetic Algorithm for the synthesis of planar array antenna was investigated. This method for antenna pattern synthesis could suppress multiple interferences by placing nulls at the directions of the interfering sources and placing the main beam in the direction of the desired signal by controllin...

Background: Worldwide the computed tomography (CT) scanning is recognized as a high radiation dose modality. This article aimed to estimate the radiation dose reduction and radiogenic risks for adult patients undertaking abdominal CT examinations. Materials and Methods: A total of 128 patients were studied using 2, 4, 16 and 64 slice CT scanners. The patients were divided into two categories: t...

This paper discusses one solution technique for an optimisation problem involving nonuniform linear array (NLA) geometry. This NLA design problem seeks an optimal geometry from the class of fully-augmentable arrays (ie. those with a complete set of intersensor differences) created to support the generalised spatial smoothing (GSS) algorithm, whose aim is to resolve the directions-of-arrival (DO...

A. El-Yacoubi1,2, M. Gilloux2, R. Sabourin1,3 and C.Y. Suen1 1 Centre for Pattern Recognition and Machine Intelligence Department of Computer Science, Concordia University 1455 de Maisonneuve Boulevard West, Montréal, Canada H3G 1M8 2 Service de Recherche Technique de La Poste Department Reconnaissance, Modélisation Optimisation (RMO) 10, rue de l’ile Mabon, 44063 Nantes Cedex 02, France 3 Ecol...

the paper discusses the current state of research concerning railway network timetabling and traffic management. timetable effectiveness is governed by frequency, regularity, accurate running, recovery and layover times, as well as minimal headway, buffer times and waiting times. analytic (queuing) models and stochastic microsimulation are predominantly used for estimation of waiting times and ...

The phenomenological model of Khossravi and Connors (1992) has been adopted to calculate the electrophoretic mobility of drugs at different concentrations of solvents in a binary mixture. The accuracy and predictability of the model have been evaluated employing 14 experimental data sets by using average percentage mean deviation (APMD). The obtained APMD for correlative and predictive studies ...