The well-known Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space R. Recently, mirrored samples and sequential selection have been introduced within CMA-ES to improve its local search performances. In this paper, we benchmark the (1,4m)-CMA-ES which implements mirrored samples and sequent...

State-of-the-art methods for clustering data drawn from a union of subspaces are based on sparse and low-rank representation theory. Existing results guaranteeing the correctness of such methods require the dimension of the subspaces to be small relative to the dimension of the ambient space. When this assumption is violated, as is, for example, in the case of hyperplanes, existing methods are ...

Catheter ablation is a common treatment option for drug-refractory atrial fibrillation. In many cases, pulmonary vein isolation is the treatment of choice. With current fluoro overlay methods or electroanatomic mapping systems, it is possible to visualize three-dimensional (3-D) anatomy as well as target ablation lines to provide additional context information. Today, however, these lines need ...

OBJECTIVES International reference pricing (IRP) refers to the benchmarking of pharmaceutical prices in one or several other markets when setting or negotiating country-level prices. This policy instrument has been used extensively by payers around the world to regulate pharmaceuticals prices within their jurisdictions. The objective of this research was to characterise the frequency and nature...

in this paper, we aim to overcome three major shortcomings of the fdh (free disposal hull) directional distance function through developing two new, named linear and fractional cdfdh, complete fdh measures of efficiency. to accomplish this, we integrate the concepts of similarity and fdh directional distance function. we prove that the proposed measures are translation invariant and unit invari...

data envelopment analysis (dea) was developed to help compare the relative performance of decision-making units. it is a non-parametric method for performing frontier analysis. it uses linear programming to estimate the efficiency of multiple decision-making units and it is commonly used in production, management and economics [3]. dea generates an efficiency score between 0 and 1 for each unit...

The most important goals included in the Europe 2020 Strategy are climate/energy targets, which determine not only achievement of its other but also climate neutrality by 2050. This article aims to assess efficiency implementing targets and analyse changes over time, taking into consideration structural diversity between old (EU 15) new EU members 13) period 2014–2018. assessment time adds valu...

Healthcare is an industry composed of numerous and complex processes. Benchmarking is the continual and collaborative discipline of measuring and comparing the results of key work processes with those of the best performers. Benchmarking ushers in a new direction to the way activities are performed in hospitals, as there is no other tool by which supply chain performance is measured in a reliab...

Sueyoshi and Sekitani in 2007 presented a paper that explores the measurement of Returns to Scale under a possible occurrence of multiple solution in a reference set and a supporting hyperplane. The occurrence of multiple solutions is classified into Type I and Type II. Type I is an occurrence of multiple solutions in a reference set. Type II is an occurrence of multiple solutions on a supporti...

Data envelopment analysis (DEA) is known as a useful tool that produces many efficient decision-making units (DMUs). Traditional DEA provides relative efficient scores and reference sets, but does not influence and rank the efficient DMUs. This paper suggests a method that pro‐ vides influence and ranking information by using Pag‐ eRank as a centrality of Social Network analysis (SNA) based on ...