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

Electrodialysis (ED) presents a competitive method for desalinating brackish waters. Herein we perform cost optimization of a single-stack ED system across a range of feed salinities and water ...

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 Optimization problems in engineering and economic involve the challenging task of pondering both conflicting goals and random data. In this paper, we give an up-to-date overview of how ...