Accountable care organizations (ACOs) have attracted interest from many policy makers and clinical leaders because of their potential to improve the quality of care and reduce costs. Federal ACO programs for Medicare beneficiaries are now up and running, but little information is available about the baseline characteristics of early entrants. In this descriptive study we present data on the str...

In this paper we present an Ant Colony Optimisation based algorithm to determine the Pareto set for the Multiple Objective Travelling Salesman Problem. Our results are then compared with the ones obtained with a genetic algorithm.

Shear wave velocity (Vs) data are key information for petrophysical, geophysical and geomechanical studies. Although compressional wave velocity (Vp) measurements exist in almost all wells, shear wave velocity is not recorded for most of elderly wells due to lack of technologic tools. Furthermore, measurement of shear wave velocity is to some extent costly. This study proposes a novel methodolo...

To aware the topology of wireless sensor networks (WSN) with time-variety, and load-balance the resource of communication and energy, an opportunistic routing protocol for WSN based on Opportunistic Routing Entropy and ant colony optimization, called ACO-TDOP, is proposed. At first, based on the second law of thermo-dynamics, we introduce the concept of Opportunistic Routing Entropy which is a ...

This paper presents an ant colony optimization (ACO) algorithm for continuous functions based on novel pheromone updating. At the end of the each iteration in the proposed algorithm, pheromone is updated according to percentiles which determine the number of ants to track the best candidate solution. It is performed by means of solution archive and information provided by previous solutions. Pe...