In this paper, we considered a Stochastic Interval-Valued Linear Fractional Programming problem(SIVLFP). In this problem, the coefficients and scalars in the objective function are fractional-interval, and technological coefficients and the quantities on the right side of the constraints were random variables with the specific distribution. Here we changed a Stochastic Interval-Valued Fractiona...

This paper presents a decision making approach for mid-term scheduling of large industrial consumers based on the recently introduced class of Stochastic Dominance (SD)- constrained stochastic programming. In this study, the electricity price in the pool as well as the rate of availability (unavailability) of the generating unit (forced outage rate) is considered as uncertain parameters. Th...

Truckload routing has always been a challenge. The truckload routing problem (TRP) itself is hard, but the complexity of solving the problem increases due to the stochastic nature of truckload demand. It is traditionally approached through the use of single objective solution methodologies which range from linear programming to dynamic programming techniques. This paper presents a deterministic...

0360-8352/$ see front matter 2012 Elsevier Ltd. A http://dx.doi.org/10.1016/j.cie.2012.08.005 ⇑ Corresponding author. Tel.: +886 3 2118800x3713 E-mail addresses: [email protected] (C.-T. (H.-M. Chen), [email protected], (Z.-Y. Zhuang). The multi-segment goal programming (MSGP) model is an extension model of GP wherein the core thinking is inherited from the multi-choice goal program...

Probabilistic or stochastic programming is a framework for modeling optimization problems that involve uncertainty.In this paper, we focus on multi-objective linear programmingproblems in which the coefficients of constraints and the righthand side vector are fuzzy random variables. There are several methodsin the literature that convert this problem to a stochastic or<b...

Congestion management in electricity markets is traditionally done using deterministic values of power system parameters considering a fixed network configuration. In this paper, a stochastic programming framework is proposed for congestion management considering the power system uncertainties. The uncertainty sources that are modeled in the proposed stochastic framework consist of contingencie...