We consider a problem in which a supplier must determine the transportation mode for product deliveries to satisfy demand from a set of retailers. Based on combinations of four possible transportation modes, we consider seven different distribution policies on set of instances derived from data from an Italian company. For three demand scenarios (low, moderate, high), we compare the performance...

Abstract To meet the high demand of data transmission capacity, optical communications systems have been developed. In order to increase channel numbers for larger communication bandwidth, multi-mode lasers and laser arrays can be used. As an alternative coherent light source, frequency comb (OFC) contains multi-wavelength signal, hence enables with stream tens terabit/s. Fully integrated elect...

This paper proposes a novel imaging mode which allows for the acquisition of SAR images with different resolution in single process, specifically designed multiple-input multiple-output synthetic aperture radar (MIMO-SAR). To achieve this, multi-mode array system model based on two-dimensional intra-pulse scanning is established, followed by division full signals into sub-aperture signals. Impr...

We consider the problem of allocating multiple heterogeneous resources geographically and over time to meet demands that require some subset available resource types simultaneously at a specified time, location, duration. The objective is maximize total reward accrued from meeting (a of) demands. model this as an integer program, show it NP-hard, analyze complexity various special cases. introd...

Abstract: This paper presents an exact model and a genetic algorithm for the multi-mode resource constrained project scheduling problem with generalized precedence relations in which the duration of an activity is determined by the mode selection and the duration reduction (crashing) applied within the selected mode. All resources considered are renewable. The objective is to determine a mode, ...

We present an adaptive iterative learning based flow imputation algorithm, to estimate missing flow profiles in on ramps and off ramps using a freeway traffic flow model. We use the LinkNode Cell transmission model to describe the traffic state evolution in freeways, with on ramp demand profiles and off ramp split ratios (which are derived from flows) as inputs. The model based imputation algor...

This paper presents a novel interactive multi-level planning strategy for the energy management of distribution networks with clustered microgrids (CMGs). CMGs are group multiple renewable resources that comprise various technologies, such as photovoltaic systems, wind turbines, micro turbines and electric vehicles. study develops an innovative optimization framework coordination between in low...