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The rapid development of cloud-native architecture has promoted the widespread application of container technology, but the optimization problems in container scheduling and resource management still face many challenges. This paper…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-12-24 Xiaoye Wang

The rapid growth of urban populations and the increasing need for sustainable transportation solutions have prompted a shift towards electric buses in public transit systems. However, the effective management of mixed fleets consisting of…

Optimization and Control · Mathematics 2026-01-14 Rishav Sen , Amutheezan Sivagnanam , Aron Laszka , Ayan Mukhopadhyay , Abhishek Dubey

Retailers have significant potential to improve recommendations through strategic bundling and pricing. By taking into account different types of customers and their purchasing decisions, retailers can better accommodate customer…

Optimization and Control · Mathematics 2024-09-06 Maxime Bouscary , Mazen Danaf , Saurabh Amin

This study proposes a bi-level optimization program to represent the electric vehicle (EV) charging infrastructure design and utilization management problem with user-equilibrium (UE) decisions. The upper level aims to minimize total…

Optimization and Control · Mathematics 2021-05-25 Amir Mirheli , Leila Hajibabai

The shift towards electric vehicles (EVs) is crucial for establishing sustainable and low-emission urban transportation systems. However, the success of this transition depends on the strategic placement of the charging infrastructure. This…

Systems and Control · Electrical Eng. & Systems 2025-08-11 Tony Kinchen , Panagiotis Typaldos , Andreas A. Malikopoulos

The Cloud Computing paradigm consists in providing customers with virtual services of the quality which meets customers' requirements. A cloud service operator is interested in using his infrastructure in the most efficient way while…

Data Structures and Algorithms · Computer Science 2014-03-04 Thomas Carli , Stéphane Henriot , Johanne Cohen , Joanna Tomasik

Truck platooning is a promising technology that enables trucks to travel in formations with small inter-vehicle distances for improved aerodynamics and fuel economy. The real-world transportation system includes a vast number of trucks…

Systems and Control · Electrical Eng. & Systems 2023-07-25 Ting Bai , Alexander Johansson , Karl Henrik Johansson , Jonas Mårtensson

Autonomous mobility-on-demand (AMoD) systems, centrally coordinated fleets of self-driving vehicles, offer a promising alternative to traditional ride-hailing by improving traffic flow and reducing operating costs. Centralized control in…

Optimization and Control · Mathematics 2025-06-25 Antonio Coppola , Gerhard Hiermann , Dario Paccagnan , Michel Gendreau , Maximilian Schiffer

As zero-emission zones emerge in European cities, fleet operators are shifting to electric vehicles. To maintain their current operations, a clear understanding of the charging infrastructure required and its relationship to existing power…

Systems and Control · Electrical Eng. & Systems 2026-04-02 Juan Pablo Bertucci , Mauro Salazar , Theo Hofman

This paper addresses the problem of how best to coordinate, or `stack,' energy storage services in systems that lack centralized markets. Specifically, its focus is on how to coordinate transmission-level congestion relief with local,…

This paper presents a real-time trajectory planning scheme for a heterogeneous multi-robot system (consisting of a quadrotor and a ground mobile robot) for a cooperative landing task, where the landing position, landing time, and…

Robotics · Computer Science 2025-12-10 Jingshan Chen , Lihan Xu , Henrik Ebel , Peter Eberhard

The adoption of electric vehicles (EVs), including electric taxis and buses, as a mode of transportation, is rapidly increasing in cities. In addition to providing economic and environmental benefits, these fleets can potentially…

Optimization and Control · Mathematics 2023-11-21 Mostafa Mohammadian , Constance Crozier , Kyri Baker

The rapid growth of electric vehicles is shifting the main constraint on transport electrification from vehicle adoption to the deployment and operation of charging infrastructure. Charging-network design requires decisions across three…

Multiagent Systems · Computer Science 2026-05-22 Peiyan Xiao , Yuheng Li , Ayan Mukhopadhyay , Sai Krishna Ghanta , Sabur Baidya , Yanhai Xiong

Electric trucks are increasingly deployed to reduce the trucking sector's carbon footprint, but their limited range and charging needs create operational challenges on mid- to long-haul routes. Truck platooning can mitigate range anxiety…

Optimization and Control · Mathematics 2025-11-18 Yilang Hao , Zhibin Chen

Crowdsourced delivery (CSD) is an emerging business model that leverages the underutilized or excess capacity of individual drivers to fulfill delivery tasks. This paper presents a general formulation of a larege-scale two-sided CSD…

Optimization and Control · Mathematics 2024-12-31 Yuki Oyama , Takashi Akamatsu

Optimizing car sharing systems under demand uncertainty is an emerging problem for ensuring profitable and sustainable operations of these services while taking into account quality of service concerns. With the increasing adoption of…

Optimization and Control · Mathematics 2023-07-18 Sinan Emre Kosunda , Beste Basciftci , Esra Koca

Replacing a fossil fuel-powered car with an electric model can halve greenhouse gas emissions over the course of the vehicle's lifetime and reduce the noise pollution in urban areas. In green logistics, a well-scheduled charging ensures an…

Multiagent Systems · Computer Science 2021-03-16 Luyang Hou , Chun Wang , Jun Yan

The transition to Electric Vehicles (EVs) demands intelligent, congestion-aware infrastructure planning to balance user convenience, economic viability, and traffic efficiency. We present a joint optimisation framework for EV Charging…

Multiagent Systems · Computer Science 2026-03-24 Niloofar Aminikalibar , Farzaneh Farhadi , Maria Chli

Charged particle transport is an important energy transport mode in the combustion process of inertial confinement fusion plasma. On the one hand, charged particles inside the hot spot have a strong non-equilibrium effect, so it is…

Plasma Physics · Physics 2023-09-26 Chang Liu , Bao Du , Peng Song

This paper presents a coordinative demand charge mitigation (DCM) strategy for reducing electricity consumption during system peak periods. Available DCM resources include batteries, diesel generators, controllable loads, and conservation…

Systems and Control · Electrical Eng. & Systems 2023-02-02 Rongxing Hu , Kai Ye , Hyeonjin Kim , Hanpyo Lee , Ning Lu , Di Wu , PJ Rehm
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