This paper deals with the problem of optimal reconfiguration medium voltage distribution networks by proposing a mixed-integer nonlinear programming (MINLP) model. optimization model has as objective function minimization total power losses in all branches network constrained active and reactive balance equations, regulation bounds device capabilities, among others. The proposed MINLP formulati...

Abstract We propose a new decomposition method to solve multistage non-convex mixed-integer (stochastic) nonlinear programming problems (MINLPs). call this algorithm nested Benders (NC-NBD). NC-NBD is based on solving dynamically improved linear outer approximations of the MINLP, obtained by piecewise relaxations functions. Those MILPs are solved global optimality using an enhancement decomposi...

Hydrogen network management has economic appeal due to its importance in oil refineries. It become genuinely relevant the restrictions of sulfur content fuels, which need hydrogen be removed. Mathematical programming can used as a tool for optimizing networks, and efficient within refineries achieved through material balance units that make up network. In this work, an optimization model Mixed-...

The increase in the use of electrical and electronic devices worldwide has created a rapid growth waste equipment (WEEE). current paper presents an optimization-based simulation (OBS) approach that allows design sustainable WEEE management system policies. proposed OBS integrates dynamics (SD) model mixed-integer nonlinear programming (MINLP) to improve representation performance processes cons...

This paper presents a novel approach to tackle the problem of optimal neutral wire grounding in bipolar DC networks including asymmetric loading, which naturally involves mixed-integer nonlinear programming (MINLP) and is challenging solve. MINLP model transformed into recursive quadratic (MIQ) by linearizing hyperbolic relation between voltage powers constant power terminals. A algorithm imple...

In this article we will give a brief overview of the start-of-the-art on software for the solution of mixed integer nonlinear programs (MINLP). We establish several groupings with respect to various features and give concise individual descriptions for each solver.

We are interested in structures and efficient methods for mixed-integer nonlinear programs (MINLP) that arise from a first discretize, then optimize approach to timedependent mixed-integer optimal control problems (MIOCPs). In this study we focus on combinatorial constraints, in particular on restrictions on the number of switches on a fixed time grid. We propose a novel approach that is based ...

The Perspective Relaxation (PR) is a general approach for constructing tight approximations to MixedInteger NonLinear Problems with semicontinuous variables. The PR of a MINLP can be formulated either as a Mixed-Integer Second-Order Cone Program (provided that the original objective function is SOCPrepresentable), or as a Semi-Infinite MINLP. In this paper, we show that under some further assum...

We propose a method for solving mixed-integer nonlinear programs (MINLPs) to global optimality by discretization of occuring nonlinearities. The main idea is based on using piecewise linear functions to construct mixed-integer linear program (MIP) relaxations of the underlying MINLP. In order to find a global optimum of the given MINLP we develope an iterative algorithm which solves MIP relaxat...

Multi-FPGA platforms, like Amazon AWS F1, can run in the cloud multikernel pipelined applications, convolutional neural networks (CNNs), with excellent performance and lower energy consumption than CPUs or GPUs. We propose a method to efficiently map these applications on multi-FPGA platforms maximize application throughput. Our methodology finds, for given resources, optimal number of parallel...