Publications related to A utility optimization-based framework for joint in- and out-of-home scheduling

Related publications (9)

A survey on vehicle–drone cooperative delivery operations optimization: Models, methods, and future research directions

With the rise of technology and market demand, unmanned devices, particularly drones, are increasingly used in logistics due to their speed and cost-efficiency. However, the persistence of limiting factors such as battery life and payload capacity has rend ...

2025

Design of heat-resilient housing in hot-arid regions

Zhujing Zhang

Extreme heat events in urban areas increasingly challenge the capacity of electrical distribution systems to serve building cooling equipment under peak loads and, when power is interrupted, the thermal response of buildings that can delay the onset of dan ...

2025

Experimental investigation of repurposed Kaplan turbines as variable-speed propellers for maximizing Frequency Containment Reserve

Mario Paolone, Sidi-Rachid Cherkaoui, Elena Vagnoni, Francesco Gerini, Martin Seydoux

This study explores the practical viability of repurposing aging Kaplan turbines into variable-speed propellers by employing full-size frequency converters. The motivation behind this approach is to improve the provision of Frequency Containment Reserve (F ...

Elsevier2024

Aircraft Trajectory Planning for Climate Hotspot Avoidance Considering Air Traffic Complexity: A Constrained Multi-Agent Reinforcement Learning Approach

Maryam Kamgarpour, Tingting Ni

Planning aircraft trajectories to avoid climate-sensitive areas poses operational challenges, including increased traffic complexity and potential safety risks. This study presents a framework designed to plan operationally feasible climate-friendly routes ...

2024

Performance evaluation of acceleration of convolutional layers on OpenEdgeCGRA

David Atienza Alonso, Pasquale Davide Schiavone, Juan Pablo Sapriza Araujo

Recently, efficiently deploying deep learning solutions on the edge has received increasing attention. New platforms are emerging to support the increasing demand for flexibility and high performance. In this work, we explore the efficient mapping of convo ...

Association for Computing Machinery, Inc2024

Stochastic optimization and Markov chain-based scenario generation for exploiting the underlying flexibilities of an active distribution network

Sidi-Rachid Cherkaoui

This paper proposes a scalable stochastic optimization model and a Markov chain-based scenario generation method to benefit from an active distribution network's (ADN's) flexibility. The optimization variables are the dispatch plan, such as the active and ...

2023

Fanout-Bounded Logic Synthesis for Emerging Technologies - A Top-Down Approach

Giovanni De Micheli, Dewmini Sudara Marakkalage

In logic circuits, the number of fanouts a gate can drive is limited, and such limits are tighter in emerging technologies such as superconducting electronic circuits. In this work, we study the problem of resynthesizing a logic network with bounded-fanout ...

IEEE2023

On the parametrisation of motion kinematics for experimental aerodynamic optimisation

Karen Ann J Mulleners, Alexander Gehrke

The levels of agility and flight or swimming performance demonstrated by insects, birds, fish, and even some aquatic invertebrates, are often vastly superior to what even the most advanced human-engineered vehicles operating in the same regimes are capable ...

2022

Bidder optimal assignments for general utilities

Monika Henzinger

We study the problem of matching bidders to items where each bidder i has general, strictly monotonic utility functions u(i,j)(p(j)) expressing his utility of being matched to item j at price p(j). For this setting we prove that a bidder optimal outcome al ...

Elsevier Science Bv2013