Dr Christopher Bayliss BSc, PhD

Research Associate Operations and Supply Chain Management

Publications

2021

Machine learning based simulation optimisation for urban routing problems (Journal article)

Bayliss, C. (2021). Machine learning based simulation optimisation for urban routing problems. Applied Soft Computing, 105, 107269. doi:10.1016/j.asoc.2021.107269

DOI: 10.1016/j.asoc.2021.107269

Queue-constrained packing: A vehicle ferry case study (Journal article)

Bayliss, C., Currie, C. S. M., Bennell, J. A., & Martinez-Sykora, A. (2021). Queue-constrained packing: A vehicle ferry case study. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 289(2), 727-741. doi:10.1016/j.ejor.2020.07.027

DOI: 10.1016/j.ejor.2020.07.027

Reliability in volunteer computing micro-blogging services (Journal article)

Bayliss, C., Panadero, J., Calvet, L., & Marquès, J. M. (2021). Reliability in volunteer computing micro-blogging services. Future Generation Computer Systems, 115, 857-871. doi:10.1016/j.future.2020.09.034

DOI: 10.1016/j.future.2020.09.034

2020

Combining a Matheuristic with Simulation for Risk Management of Stochastic Assets and Liabilities (Journal article)

Bayliss, C., Serra, M., Nieto, A., & Juan, A. A. (n.d.). Combining a Matheuristic with Simulation for Risk Management of Stochastic Assets and Liabilities. Risks, 8(4), 131. doi:10.3390/risks8040131

DOI: 10.3390/risks8040131

A biased-randomized algorithm for optimizing efficiency in parametric earthquake (Re) insurance solutions (Journal article)

Bayliss, C., Guidotti, R., Estrada-Moreno, A., Franco, G., & Juan, A. A. (2020). A biased-randomized algorithm for optimizing efficiency in parametric earthquake (Re) insurance solutions. Computers and Operations Research, 123. doi:10.1016/j.cor.2020.105033

DOI: 10.1016/j.cor.2020.105033

A two-phase local search with a discrete-event heuristic for the omnichannel vehicle routing problem (Journal article)

Bayliss, C., Martins, L. D. C., & Juan, A. A. (2020). A two-phase local search with a discrete-event heuristic for the omnichannel vehicle routing problem. COMPUTERS & INDUSTRIAL ENGINEERING, 148. doi:10.1016/j.cie.2020.106695

DOI: 10.1016/j.cie.2020.106695

A Simheuristic Algorithm for Solving the Stochastic Omnichannel Vehicle Routing Problem with Pick-up and Delivery (Journal article)

Martins, L. D. C., Bayliss, C., Copado-Méndez, P. J., Panadero, J., & Juan, A. A. (n.d.). A Simheuristic Algorithm for Solving the Stochastic Omnichannel Vehicle Routing Problem with Pick-up and Delivery. Algorithms, 13(9), 237. doi:10.3390/a13090237

DOI: 10.3390/a13090237

A learnheuristic approach for the team aerial drone motion constraints orienteering problem with (Journal article)

Bayliss, C., Juan, A. A., Currie, C. S. M., & Panadero, J. (2020). A learnheuristic approach for the team aerial drone motion constraints orienteering problem with. APPLIED SOFT COMPUTING, 92. doi:10.1016/j.asoc.2020.106280

DOI: 10.1016/j.asoc.2020.106280

Scheduling airline reserve crew using a probabilistic crew absence and recovery model (Journal article)

Bayliss, C., De Maere, G., Atkin, J. A. D., & Paelinck, M. (2020). Scheduling airline reserve crew using a probabilistic crew absence and recovery model. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 71(4), 543-565. doi:10.1080/01605682.2019.1567649

DOI: 10.1080/01605682.2019.1567649

A Biased-Randomized Learnheuristic for Solving the Team Orienteering Problem with Dynamic Rewards (Journal article)

Reyes-Rubiano, L., Juan, A. A., Bayliss, C., Panadero, J., Faulin, J., & Copado, P. (2020). A Biased-Randomized Learnheuristic for Solving the Team Orienteering Problem with Dynamic Rewards. Transportation Research Procedia, 47, 680-687. doi:10.1016/j.trpro.2020.03.147

DOI: 10.1016/j.trpro.2020.03.147

A Savings-Based Heuristic for Solving the Omnichannel Vehicle Routing Problem with Pick-up and Delivery (Journal article)

Martins, L. D. C., Bayliss, C., Juan, A. A., Panadero, J., & Marmol, M. (2020). A Savings-Based Heuristic for Solving the Omnichannel Vehicle Routing Problem with Pick-up and Delivery. Transportation Research Procedia, 47, 83-90. doi:10.1016/j.trpro.2020.03.082

DOI: 10.1016/j.trpro.2020.03.082

Applying Statistical Learning Methods for Forecasting Prices and Enhancing the Probability of Success in Logistics Tenders (Journal article)

Nataraj, S., Alvarez, C., Sada, L., Juan, A. A., Panadero, J., & Bayliss, C. (2020). Applying Statistical Learning Methods for Forecasting Prices and Enhancing the Probability of Success in Logistics Tenders. Transportation Research Procedia, 47, 529-536. doi:10.1016/j.trpro.2020.03.128

DOI: 10.1016/j.trpro.2020.03.128

Maximising reward from a team of surveillance drones: a simheuristic approach to the stochastic team orienteering problem (Journal article)

Panadero, J., Juan, A. A., Bayliss, C., & Currie, C. (2020). Maximising reward from a team of surveillance drones: a simheuristic approach to the stochastic team orienteering problem. European J. of Industrial Engineering, 14(4), 485. doi:10.1504/ejie.2020.108581

DOI: 10.1504/ejie.2020.108581

2019

Combining Simulation with a Biased-Randomized Heuristic to Develop Parametric Bonds for Insurance Coverage against Earthquakes (Conference Paper)

Bayliss, C., Estrada-Moreno, A., Juan, A. A., Franco, G., & Guidotti, R. (2019). Combining Simulation with a Biased-Randomized Heuristic to Develop Parametric Bonds for Insurance Coverage against Earthquakes. In 2019 Winter Simulation Conference (WSC). IEEE. doi:10.1109/wsc40007.2019.9004955

DOI: 10.1109/wsc40007.2019.9004955

Combining the Internet of Things with Simulation-Based Optimization to Enhance Logistics in an Agri-Food Supply Chain (Conference Paper)

Raba, D., Juan, A. A., Panadero, J., Estrada-Moreno, A., & Bayliss, C. (2019). Combining the Internet of Things with Simulation-Based Optimization to Enhance Logistics in an Agri-Food Supply Chain. In 2019 Winter Simulation Conference (WSC). IEEE. doi:10.1109/wsc40007.2019.9004952

DOI: 10.1109/wsc40007.2019.9004952

Dynamic pricing and learning with competition: insights from the dynamic pricing challenge at the 2017 INFORMS RM & pricing conference (Journal article)

van de Geer, R., den Boer, A. V., Bayliss, C., Currie, C. S. M., Ellina, A., Esders, M., . . . Zachariades, S. (2019). Dynamic pricing and learning with competition: insights from the dynamic pricing challenge at the 2017 INFORMS RM & pricing conference. Journal of Revenue and Pricing Management, 18(3), 185-203. doi:10.1057/s41272-018-00164-4

DOI: 10.1057/s41272-018-00164-4

Dynamic pricing for vehicle ferries: Using packing and simulation to optimize revenues (Journal article)

Bayliss, C., Currie, C. S. M., Bennell, J. A., & Martinez-Sykora, A. (2019). Dynamic pricing for vehicle ferries: Using packing and simulation to optimize revenues. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 273(1), 288-304. doi:10.1016/j.ejor.2018.08.004

DOI: 10.1016/j.ejor.2018.08.004

2018

INTEGRATING BIASED-RANDOMIZED GRASP WITH MONTE CARLO SIMULATION FOR SOLVING THE VEHICLE ROUTING PROBLEM WITH STOCHASTIC DEMANDS (Conference Paper)

Festa, P., Pastore, T., Ferone, D., Juan, A. A., Bayliss, C., & IEEE. (2018). INTEGRATING BIASED-RANDOMIZED GRASP WITH MONTE CARLO SIMULATION FOR SOLVING THE VEHICLE ROUTING PROBLEM WITH STOCHASTIC DEMANDS. In 2018 WINTER SIMULATION CONFERENCE (WSC) (pp. 2989-3000). Retrieved from http://gateway.webofknowledge.com/

2017

A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty (Journal article)

Bayliss, C., De Maere, G., Atkin, J. A. D., & Paelinck, M. (2017). A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty. ANNALS OF OPERATIONS RESEARCH, 252(2), 335-363. doi:10.1007/s10479-016-2174-8

DOI: 10.1007/s10479-016-2174-8

2016

A SIMHEURISTIC APPROACH TO THE VEHICLE FERRY REVENUE MANAGEMENT PROBLEM (Conference Paper)

Bayliss, C., Bennell, J. M., Currie, C. S. M., Martinez-Sykora, A., So, M. -C., & IEEE. (2016). A SIMHEURISTIC APPROACH TO THE VEHICLE FERRY REVENUE MANAGEMENT PROBLEM. In 2016 WINTER SIMULATION CONFERENCE (WSC) (pp. 2335-2346). Retrieved from http://gateway.webofknowledge.com/

2013

Scheduling Airline Reserve Crew to Minimise Crew Related Delay using Simulated Airline Recovery and a Probabilistic Optimisation Model (Conference Paper)

Bayliss, C., De Maere, G., Atkin, J., Paelinck, M., & IEEE. (2013). Scheduling Airline Reserve Crew to Minimise Crew Related Delay using Simulated Airline Recovery and a Probabilistic Optimisation Model. In 2013 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2013) (pp. 1944-1950). doi:10.1109/SMC.2013.334

DOI: 10.1109/SMC.2013.334