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 ...

In this study, we propose an exact method for optimizing a linear function over the efficient set of a multi-objective transportation problem (MOTP). This type of problem arises when a decision maker ...

Abstract: Airport stand allocation is a multi-purpose optimization process that has an impact on operational efficiency and requires rapid intervention in case of changing conditions (e.g. managing ...

ABSTRACT: This paper deals with linear programming techniques and their application in optimizing lecture rooms in an institution. This linear programming formulated based on the available secondary ...

Safety+ offers engineers access to standard productivity tools for programming. Source: B&R B&R, a division of ABB, introduces Safety+, an innovative open approach to programming safety functions that ...

ABSTRACT: In this paper, the statistical averaging method and the new statistical averaging methods have been used to solve the fuzzy multi-objective linear programming problems. These methods have ...