Introduction: Beam-angle optimization (BAO) is a computationally intensive problem for a number of reasons. First, the search space of the solutions is huge, requiring enumeration of all possible beam orientation combinations. For example, when choosing 4 angles out of 36 candidate beam angles, C36 = 58905 possible combinations exist.  Second, any change in a   beam 4 config...

This paper develops a bi-objective portfolio selection problem that maximizes returns and minimizes a risk measure called conditional Drawdown (CDD). The drawdown measures include the maximal Drawdown and Average Drawdown as its limiting case. The CDD family of risk functional is similar to conditional value at Risk (CVaR). In this paper, the fuzzy method has been used to solve the bi-objec...

Let v,(n) be the minimum average number of pairwise comparisons needed to find the k-th largest of n numbers (k > 2) , assuming that all n! orderings are equally likely. D. W. Matula proved that, for sme absolute constant c , Vk(n)-n 5 c k log log n as n 3 = . In the -present-paper, we show that there exists an absolute constant c' > 0 such that v,(n)-n 2 c' k log log n as n 3 w , proving a con...

Creating case representations in unsupervised textual case-based reasoning applications is a challenging task because class knowledge is not available to aid selection of discriminatory features or to evaluate alternative system design configurations. Representation is considered as part of the development of a tool, called CAM, which supports an anomaly report processing task for the European ...

In many important problems, one uses the median instead of the mean to estimate a population’s center, since the former is more robust. But in general, computing the median is considerably slower than the standard mean calculation, and a fast median algorithm is of interest. The fastest existing algorithm is quickselect. We investigate a novel algorithm binmedian, which has O(n) average complex...

Mean-variance (MV) analysis is often sensitive to model mis-specification or uncertainty, meaning that the MV efficient portfolios constructed with an estimate of the model parameters (i.e., the expected return vector and covariance of asset returns) can give very poor performance for another set of parameters that is similar and statistically hard to distinguish from the one used in the analys...

This paper builds on prior case-based reasoning (CBR) research into the effect of incremental increase of case library size on overall system competence. We explore the effect of gradually increasing the size of the case base on the total accuracy of a CBR algorithm, using a large numeric data set as an example. We use a standard mathematical definition of system competence in our study of the ...

Two selection goals of inclusion or exclusion of calving interval (CI) in the selection goal function for Holstein cows in Iran, besides milk yield, milk fat percentage, and milk protein percentage, were studied. Four selection indices were composed of using the information on production traits, CI and / or days from calving to first insemination (DFI). The results of the predicted genetic grow...

portfolio selection is considered a critically significant decision, firms have to make. as such, much research has been focused on the selection of a portfolio with a controlled level of risk and high expected return. this paper uses a new definition of risk for portfolio selection whereby risk taking is taken as a curve instead of a specific value. in this paper, a genetic algorithm is presen...

When software is modified, some functionality that had been working can be affected. The reliable way to guarantee that the software is working correctly after those changes is to test the whole system again, but generally there is not sufficient time. Then, it is necessary to select significant test cases to be executed, in order to guarantee that the system is working as it should be. Althoug...