Neil Yorke-Smith

Neil Yorke-Smith

Technische Universiteit Delft

H-index: 34

Europe-Netherlands

About Neil Yorke-Smith

Neil Yorke-Smith, With an exceptional h-index of 34 and a recent h-index of 23 (since 2020), a distinguished researcher at Technische Universiteit Delft, specializes in the field of planning and scheduling, agent-based modelling, social simulation.

His recent articles reflect a diverse array of research interests and contributions to the field:

An Agent-Based Market Analysis of Urban Housing Balance in The Netherlands

Machine Learning Augmented Branch and Bound for Mixed Integer Linear Programming

Data-driven preference-based routing and scheduling for activity-based freight transport modelling

Mixed-integer optimisation of graph neural networks for computer-aided molecular design

Bayesian Ensembles for Exploration in Deep Q-Learning

Robust optimal control with inexact state measurements and adjustable uncertainty sets

Predicting the Optimal Period for Cyclic Hoist Scheduling Problems

Parallel batch processing for the coating problem

Neil Yorke-Smith Information

University

Position

___

Citations(all)

5891

Citations(since 2020)

3410

Cited By

4359

hIndex(all)

34

hIndex(since 2020)

23

i10Index(all)

79

i10Index(since 2020)

41

Email

University Profile Page

Technische Universiteit Delft

Google Scholar

View Google Scholar Profile

Neil Yorke-Smith Skills & Research Interests

planning and scheduling

agent-based modelling

social simulation

Top articles of Neil Yorke-Smith

Title

Journal

Author(s)

Publication Date

An Agent-Based Market Analysis of Urban Housing Balance in The Netherlands

Real Estate

Erik Wiegel

Neil Yorke-Smith

2024/4/28

Machine Learning Augmented Branch and Bound for Mixed Integer Linear Programming

arXiv preprint arXiv:2402.05501

Lara Scavuzzo

Karen Aardal

Andrea Lodi

Neil Yorke-Smith

2024/2/8

Data-driven preference-based routing and scheduling for activity-based freight transport modelling

Transportation Research Part C: Emerging Technologies

Ali Nadi

Neil Yorke-Smith

Maaike Snelder

JWC Van Lint

Lóránt Tavasszy

2024/1/1

Mixed-integer optimisation of graph neural networks for computer-aided molecular design

Computers & Chemical Engineering

Tom McDonald

Calvin Tsay

Artur M Schweidtmann

Neil Yorke-Smith

2024/6/1

Bayesian Ensembles for Exploration in Deep Q-Learning

Pascal Van der Vaart

Neil Yorke-Smith

Matthijs TJ Spaan

2024/5/6

Robust optimal control with inexact state measurements and adjustable uncertainty sets

IFAC-PapersOnLine

Yun Li

Neil Yorke-Smith

Tamas Keviczky

2023/1/1

Predicting the Optimal Period for Cyclic Hoist Scheduling Problems

Nikolaos Efthymiou

Neil Yorke-Smith

2023/5/23

Parallel batch processing for the coating problem

Proceedings of the International Conference on Automated Planning and Scheduling

Matthias Horn

Emir Demirović

Neil Yorke-Smith

2023/7/1

Maintenance commitments: Conception, semantics, and coherence

Artificial Intelligence

Pankaj Telang

Munindar P Singh

Neil Yorke-Smith

2023/11/1

Data-Driven Combinatorial Optimisation (Dagstuhl Seminar 22431)

Emma Frejinger

Andrea Lodi

Michele Lombardi

Neil Yorke-Smith

2023

Adaptive parallelization of multi-agent simulations with localized dynamics

arXiv preprint arXiv:2304.01724

Alexandru-Ionuţ Băbeanu

Tatiana Filatova

Jan H Kwakkel

Neil Yorke-Smith

2023/4/4

Embedding a long short-term memory network in a constraint programming framework for tomato greenhouse optimisation

Proceedings of the AAAI Conference on Artificial Intelligence

Dirk van Bokkem

Max van den Hemel

Sebastijan Dumančić

Neil Yorke-Smith

2023/6/26

Robust Losses for Decision-Focused Learning

arXiv preprint arXiv:2310.04328

Noah Schutte

Krzysztof Postek

Neil Yorke-Smith

2023/10/6

Berth planning and real-time disruption recovery: a simulation study for a tidal port

Flexible Services and Manufacturing Journal

Jaap-Jan Van der Steeg

Menno Oudshoorn

Neil Yorke-Smith

2023/3

Augmenting Ridership Data with Social Media Data to Analyse the Long-term Effect of COVID-19 on Public Transport

Yanyan Xu

Panchamy Krishnakumari

Neil Yorke-Smith

Serge Hoogendoorn

2023/6/14

Sequence-and time-dependent maintenance scheduling in twice re-entrant flow shops

IEEE Access

Eghonghon-Aye Eigbe

Bart De Schutter

Mitra Nasri

Neil Yorke-Smith

2023/9/20

Optimal training of integer-valued neural networks with mixed integer programming

Plos one

Tómas Thorbjarnarson

Neil Yorke-Smith

2023/2/1

Fleet planning under demand and fuel price uncertainty using actor–critic reinforcement learning

Journal of Air Transport Management

Izaak L Geursen

Bruno F Santos

Neil Yorke-Smith

2023/6/1

Bayesian Deep Q-Learning via Sequential Monte Carlo

Pascal Van der Vaart

Matthijs TJ Spaan

Neil Yorke-Smith

2023/7/20

Robust Optimal Control With Binary Adjustable Uncertainties

arXiv preprint arXiv:2312.11251

Yun Li

Neil Yorke-Smith

Tamas Keviczky

2023/12/18

See List of Professors in Neil Yorke-Smith University(Technische Universiteit Delft)