Searched for: subject%3A%22Integer%255C+Programming%22
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Berndt, Alexander (author), Van Duijkeren, Niels (author), Palmieri, Luigi (author), Kleiner, Alexander (author), Keviczky, T. (author)
The trajectory planning for a fleet of automated guided vehicles (AGVs) on a roadmap is commonly referred to as the multi-agent path finding (MAPF) problem, the solution to which dictates each AGV's spatial and temporal location until it reaches its goal without collision. When executing MAPF plans in dynamic workspaces, AGVs can be...
journal article 2024
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McDonald, Tom (author), Tsay, Calvin (author), Schweidtmann, A.M. (author), Yorke-Smith, N. (author)
ReLU neural networks have been modelled as constraints in mixed integer linear programming (MILP), enabling surrogate-based optimisation in various domains and efficient solution of machine learning certification problems. However, previous works are mostly limited to MLPs. Graph neural networks (GNNs) can learn from non-euclidean data...
journal article 2024
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Garofano, V. (author), Hepworth, M. (author), Shahin, R. (author), Pang, Y. (author), Negenborn, R.R. (author)
In this study, we investigated autonomous vessel obstacle avoidance using advanced techniques within the Guidance, Navigation, and Control (GNC) framework. We propose a Mixed Integer Linear Programming (MILP) based Guidance system for robust path planning avoiding static and dynamic obstacles. For Navigation, we suggest a multi-modal neural...
journal article 2024
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Liu, Tao (author), Ji, Wen (author), Gkiotsalitis, Konstantinos (author), Cats, O. (author)
Transfer optimization in public transport (PT) networks can be achieved through coordinated timetabling and vehicle scheduling. Traditionally, the coordinated timetabling problem is solved first before proceeding to the vehicle scheduling problem. The integration of these two problems can help further reduce the total operation cost and...
journal article 2023
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Bangar, Yugdeep (author)
Self-tracking has expanded exponentially in an era defined by the ubiquitous presence of wearable technologies and smart devices. From health and fitness to finances and productivity, these devices empower users to delve into their quantified self (QS) through an almost infinite amount of visualizations. However, a user has limited time to...
master thesis 2023
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Das, Viswanath (author)
Navigation systems in an Autonomous Vehicles (AV) can be divided into two parts: a path planning block which takes in the environmental data and rules to design a collision-free obstacle and a vehicle control and tracking block which generates actuator inputs for the AV to follow the reference path generated by the path planning block. Each task...
master thesis 2023
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Santos, Gonçalo Gonçalves Duarte (author), Birolini, Sebastian (author), Correia, Gonçalo (author)
Shared automated vehicles are expected to be part of the supply of transportation systems in the future. Parallel to this evolution, there is the rapid penetration of battery electric vehicles (BEVs). The limitations in battery capacity and charging speed of BEVs can influence the planning and operation of shared automated electric vehicle (SAEV...
journal article 2023
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Zhang, Yu (author), Dong, Y. (author)
The platform carrying capacity of urban rail transit stations is limited and overcrowding of the platform will lead to serious safety risks for passengers and trains. It is significant to collaborate on the optimization of passenger flow strategy and skip-stopping scheme to alleviate traffic pressure and ensure platform safety. This study...
poster 2023
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Eigbe, E. (author), De Schutter, B.H.K. (author), Nasri, Mitra (author), Yorke-Smith, N. (author)
Industrial and academic interest converge on scheduling flow shops with sequence- and time-dependent maintenance. We posit that anticipatory, integrated scheduling of operational and maintenance tasks leads to superior performance to purely 'wait-then-fix' handling of the maintenance tasks. Motivated by an industrial problem with (sequence...
journal article 2023
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Guo, Rongge (author), Bhatnagar, Saumya (author), Guan, Wei (author), Vallati, Mauro (author), Sharif Azadeh, S. (author)
This paper presents a novel framework for customised modular bus systems that leverages travel demand prediction and modular autonomous vehicles to optimise services proactively. The proposed framework addresses two prediction scenarios with different forward-looking operations: optimistic operation and pessimistic operation. A mixed integer...
journal article 2023
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Cinek, Yavuz (author)
The energy transition is one of the major challenges of the 21st century, impacting the way energy is generated, conserved and consumed. Energy generation becomes more and more decentralised, intermittency and fluctuations suddenly are becoming topics of interest within day-to-day life and energy system operators are facing many new obstacles...
master thesis 2022
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Groenheide, Jeroen (author)
Multi-Level variants of classic optimisation problems are becoming more noteworthy as the complexity of real life applications increases. In this research we investigate the Multi-Level Bin Packing optimisation problem, which models, for example, global logistics and part manufacturing. We will look at the performance of solving Integer Linear...
bachelor thesis 2022
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Kordyl, Agata (author)
The Multi-Level Bin Packing problem is a generalisation of the widely-known NP-hard Bin Packing problem. This work aims to investigate approaching this problem, as well as a version including Class Constraints, through integer programming. By modelling the problems in two ways: standard, and with a network flow approach. The studying of the...
bachelor thesis 2022
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Tokarz, Kuba (author)
The Multi-Level Bin Packing problem and its variants are some of the most popular combinatorial optimization problems. They have a wide range of real-life applications yet, they are some of the harder problems we know of. In this paper we solve the Multi-Level Bin Packing Problem and a variant of it, Multi-Level Bin Packing Problem with Conflict...
bachelor thesis 2022
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Aalberse, Max (author)
During the COVID-19 pandemic people living close to the airport got accustomed to less flights, and therefore less noise disturbance. Now the amount of traffic is increasing again and so is the noise disturbance. For this research specifically the optimizing task of distributing of arriving aircraft over the IAF is addressed, as often the...
master thesis 2022
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Druijf, Teun (author)
In the current economy, there is an increasing focus on sustainability. Green transport solutions, like rail freight, are becoming more and more popular. We will look into the shunting operations at Kijfhoek shunting yard. This yard functions as the central hub for DB Cargo Nederland and connects the Port of Rotterdam with the hinterland. About...
master thesis 2022
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Miao, Rui (author)
As the demand for the railways is expected to raise in the future, researchers are looking for ways to improve the railway capacity to increase the transport ability. Virtual coupling is a new solution based on the moving block technology, which further shortens train separation from absolute braking distance to relative braking distance. This...
master thesis 2022
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Lyu, X. (author), Negenborn, R.R. (author), Shi, Xiaoning (author), Schulte, F. (author)
Traditionally, terminal operators create an initial berthing plan before the arrival of incoming vessels. This plan involves decisions on when and where to load or discharge containers for the calling vessels. However, disruptive unforeseen events (i.e., arrival delays, equipment breakdowns, tides, or extreme weather) interfere with the...
journal article 2022
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Çubukçuoglu, C. (author), Nourian, Pirouz (author), Sariyildiz, I.S. (author), Tasgetiren, M. Fatih (author)
The paper proposes a generative design workflow for three major hospital layout planning steps to satisfy multiplex configurational requirements. The initial step is stacking through clustering functional spaces into floor plans, for which a spectral method is presented. Subsequently, a novel simultaneous process of zoning and routing is...
journal article 2022
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Huang, J. (author), Stoter, J.E. (author), Peters, R.Y. (author), Nan, L. (author)
We present a fully automatic approach for reconstructing compact 3D building models from large-scale airborne point clouds. A major challenge of urban reconstruction from airborne LiDAR point clouds lies in that the vertical walls are typically missing. Based on the observation that urban buildings typically consist of planar roofs connected...
journal article 2022
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