Modelling and solving a real-world truck-trailer scheduling problem in container transportation with separate moving objects

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This thesis develops mathematical programming frameworks to operate electric autonomous vehicles in the context of ride-sharing services. The introduced problem is a novel variant of the Dial-a-Ride Problem (DARP), denoted by the electric Autonomous Dial-a ...

The objective of this thesis is to develop a general methodology to incorporate a disaggregate demand representation in supply-oriented optimization problems that allows to capture the interplay between the behavior of individuals and the decisions to be o ...

We propose a new non-perturbative method for studying UV complete unitary quantum field theories (QFTs) with a mass gap in general number of spacetime dimensions. The method relies on unitarity formulated as positive semi-definiteness of the matrix of inne ...

An electric vehicle (EV) charging method which considers the EVs heterogeneity, taking into account the absence of any information about future arrivals and departures, and of the amount of time any charging will take. The method further considers both swi ...

Technology and energy saving potentials in the industrial sector are key data that policy-makers rely on to drive decision-making. A literature review reveals a distinct discrepancy between general potential estimation and detailed design studies. The form ...

The flexibility of distributed energy resources (DERs) accommodated in active distribution networks (ADNs) can be aggregated and then used to provide ancillary services to the transmission system. In this context, this paper presents a linear optimization ...

Dense conditional random fields (CRFs) have become a popular framework for modeling several problems in computer vision such as stereo correspondence and multiclass semantic segmentation. By modeling long-range interactions, dense CRFs provide a labeling t ...

With the ever-growing data sizes along with the increasing complexity of the modern problem formulations, contemporary applications in science and engineering impose heavy computational and storage burdens on the optimization algorithms. As a result, there ...

This paper addresses the allocation of frequency control services (FCSs) from aggregated resources of active distribution systems (ARADSs) for balancing the transmission system while considering credible contingencies as well as forecast error of loads and ...

Integrating intermittent renewable energy sources has renders the power network operator task of balancing electricity generation and consumption increasingly challenging. Aside from heavily investing in additional storage capacities, an interesting soluti ...

Modelling and solving a real-world truck-trailer scheduling problem in container transportation with separate moving objects

Chattez avec Graph Search

The electric autonomous dial-a-ride problem

A general framework for the integration of complex choice models into mixed integer optimization

Bootstrapping massive quantum field theories

Real-time control of an electric vehicle charging station while tracking an aggregated power-setpoint

Bottom-up method for potential estimation of energy saving measures

Allocation of Active Power Reserve from Active Distribution Networks Using a Cost-Benefit Approach: Application to Swissgrid Network

Efficient Relaxations for Dense CRFs with Sparse Higher-Order Potentials

Scalable Convex Optimization Methods for Semidefinite Programming

Allocation of Frequency Control Reserve from Aggregated Resources of Active Distribution Systems

Contribution of Model Predictive Control in the Integration of Renewable Energy Sources within the Built Environment