Abstract: In this paper, demand response problems are discussed based on mixed integer nonlinear programming. The considered demand response problems are defined as multi objective nonlinear ...

Mixed-integer nonlinear programming (MINLP) optimisation constitutes a critical methodology in tackling complex decision-making problems where both discrete choices and continuous variables are ...

Functional programming, as the name implies, is about functions. While functions are part of just about every programming paradigm, including JavaScript, a functional programmer has unique ...

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained ...

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Abstract: Usually, a UAV (unmanned aerial vehicle) path-planning problem is abstracted into a nonlinear optimal control model, i.e. a nonlinear programming problem. However, this kind of problem is ...

ABSTRACT: The aim of this paper is to reduce the losses, total generation cost by switching of transmission line and to maintain voltage security under N- 1 contingency conditions. Generation cost is ...

ISA 2012 Automation Week Track: Control Performance Thursday, 27 September, 3:15-4:45 pm, Room 204B R. Russell Rhinehart School of Chemical Engineering, Oklahoma State University Often, nonlinearity ...

ABSTRACT: Many concrete real life problems ranging from economic and business to industrial and engineering may be cast into a multi-objective optimisation framework. The redundancy of existing ...