Multiobjective optimization deals with finding and evaluating a number of trade-off optimal solutions. Evolutionary multiobjective optimization (EMO), started in early nineties, is now a fast-growing field of research and application in evolutionary computation. Numerous different algorithms have been developed to address computationally complex problems. Many of these algorithms attempt to fin...

This report investigates 2nd Fall and 3rd Fall retention rates by Expected Family Contribution (EFC) for recent full-time, first-time (FTFT) freshman cohorts. This report serves as an update to, and extension of, prior retention by EFC reports that focused on 2 Fall Retention as the sole dependent variable. Sub-groups of interest including First Generation students, minority ethnicity students,...

The existence of mean-variance efficient positive portfolios – portfolios with no negative weights – is a key requirement for equilibrium in the Capital Asset Pricing Model (CAPM). Brennan and Lo (2010) define an “impossible frontier” as a frontier on which all portfolios have at least one negative weight. They prove that for randomly drawn covariance matrices the probability of obtaining an im...

In a sustained development scenario it is often the case that an investment is to be made over time in facilities that generate benefits. The benefits result from joint synergies between the facilities expressed as positive utilities specific to some subsets of facilities. As incremental budgets to finance fixed facility costs become available over time, additional facilities can be opened. The...

The interconnection of modern electric power systems allows utilities to obtain significant savings in operational cost by scheduling power purchases. In a deregulated environment, utilities have only partial knowledge of the price of power available in the market. This paper presents a solution to the optimal power purchase problem in a utility by considering ellipsoidal cost coefficient uncer...

In this paper, linear Data Envelopment Analysis models are used to estimate Markowitz efficient frontier. Conventional DEA models assume non-negative values for inputs and outputs. however, variance is the only variable in these models that takes non-negative values. Therefore, negative data models which the risk of the assets had been used as an input and expected return was the output are uti...

In this article, we investigate the measurement of performance in DMUs in which input and/or output values are given as imprecise data. By imprecise data, we mean that in some cases, we only know that the actual values are inside certain intervals, and in other cases, data are specified only as ordinal preference information. In this article, we present two distinct perspectives for determining...

in this paper imprecise target models has been proposed to investigate the relation between imprecise data envelopment analysis (idea) and mini-max reference point formulations. through these models, the decision makers' preferences are involved in interactive trade-off analysis procedures in multiple objective linear programming with imprecise data. in addition, the gradient projection type me...