JioStar has once again recalibrated its revenue strategy by formally separating its television and digital sales functions ...

Abstract: In this paper, a multi-objective optimization method based on linear programming for microgrid wind, solar and storage coordination is proposed, aiming to improve the economy and operational ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

ABSTRACT: The article is devoted to decision making regarding controlling the operation of tubular gas heaters (TGH) on wood pellets. Experimental results of the study of the operation of TGH on ...

Integer linear programming can help find the answer to a variety of real-world problems. Now researchers have found a much faster way to do it. The traveling salesperson problem is one of the oldest ...

How to use the Round() function? The Round() function consists of two parts: the numeric expression you want to round and the number of decimal places. Below we show an example of an incorrect ...

Abstract: The conventional Linear Programming (LP) model requires the parameters to be known as constants. In the real world, however, the parameters are seldom known exactly and have to be estimated.

ABSTRACT: By using the penalty function method with objective parameters, the paper presents an interactive algorithm to solve the inequality constrained multi-objective programming (MP). The MP is ...