In this paper the problem of cyclic instability in dynamic environments is presented. This cyclic instability is generated when binary rule-based nomadic agents (agents entering or leaving the environment) interact in complex ways, generating undesirable outputs for the final user. Our strategy is focused on minimizing this cyclic behaviour, using optimization algorithms, in particular Genetic ...

A modified generalised directional distance function data envelopment analysis model is introduced into the smoothed bootstrap context. The new handles asymmetrically desirable and undesirable outputs deals with positive negative values, while bias-corrected estimators are independent of length direction vector. reason for development this efficiency assessment estimation degree operating gains...

Ensemble methods are often used to decide on a good selection of features for later processing by a classifier. Examples of this are in the determination of Random Forest variable importance proposed by Breiman, and in the concept of feature selection ensembles, where the outputs of multiple feature selectors are combined to yield more robust results. All of these methods rely critically on the...

A major challenge in computational biology is constraining free parameters in mathematical models. Adjusting a parameter to make a given model output more realistic sometimes has unexpected and undesirable effects on other model behaviors. Here, we extend a regression-based method for parameter sensitivity analysis and show that a straightforward procedure can uniquely define most ionic conduct...

today, banks, as intermediaries, seek to attract and allocate resources to obtain greater benefit. therefore, the bank assessment is considered as an important subject in the banking industry. data envelopment analysis is an effective technique in evaluating the efficiency of decision-making units. there are factors among banking indices (such as receivables from resource allocation) that are i...

this paper presents a data envelopment analysis (dea) model combined with bootstrapping to assess performance of one of the data mining algorithms. we applied a two-step process for performance productivity analysis of insurance branches within a case study. first, using a dea model, the study analyzes the productivity of eighteen decision-making units (dmus). using a malmquist index, dea deter...

Previous research on agricultural productivity in Africa has focused conventional Total Factor (TFP) growth rather than Green factor (GATFP) growth, thus ignoring the effect of undesirable outputs such as emissions. This raised concerns about sustainability continent. The study was designed to examine GATFP for 49 African nations from 2000 2019. We apply Global Malmquist–Luenberger (GML) Produc...

Camera traps are electrical instruments that emit sounds and light. In recent decades they have become a tool of choice in wildlife research and monitoring. The variability between camera trap models and the methods used are considerable, and little is known about how animals respond to camera trap emissions. It has been reported that some animals show a response to camera traps, and in researc...