Dr Christopher Bayliss BSc, PhD
Research Associate Operations and Supply Chain Management
- Work email Christopher.Bayliss@liverpool.ac.uk
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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