Inverted Generational Distance (IGD) has been widely considered as a reliable performance indicator to concurrently quantify the convergence and diversity of multiand manyobjective evolutionary algorithms. In this paper, an IGD indicatorbased evolutionary algorithm for solving many-objective optimization problems (MaOPs) has been proposed. Specifically, the IGD indicator is employed in each gen...

Dominance move (DoM) is a binary quality indicator that can be used in multiobjective and many-objective optimization to compare two solution sets obtained from different simulations. The DoM differentiate the for certain important features, such as convergence , xmlns:xlink="http://www.w3.org/...

Background: Interscalene nerve blocks are commonly performed for surgeries of the upper limb. Assessment methods evaluation conventional and subjective. Aims Objectives: The aim study was to evaluate perfusion index (PI) as an objective indicator assessing successful ultrasound guided interscalene block. Materials Methods: This prospective, observational included adult patients undergoing limb ...

When comparing the average citation impact of research groups, universities and countries, field normalisation reduces the influence of discipline and time. Confidence intervals for these indicators can help with attempts to infer whether differences between sets of publications are due to chance factors. Although both bootstrapping and formulae have been proposed for these, their accuracy is u...

This paper presents a methodology to integrate life cycle assessment (LCA)in thermoeconomic models used for the optimal conceptual design of energy conversion systems. It is illustrated by an application to a thermo-economic model developed for the multi-objective optimization of combined synthetic natural gas (SNG) and electricity production from lignocellulosic biomass. The life cycle invento...

Various evolutionary multiobjective optimization algorithms (EMOAs) have replaced or augmented the notion of dominance with quality indicators and leveraged them in selection operators. Recent studies show that indicator-based EMOAs outperform traditional dominance-based EMOAs. Many quality indicators have been proposed with the intention to capture different preferences in optimization. Theref...