Modeling the speed-based vessel schedule recovery problem using evolutionary multiobjective optimization
- 31 May 2018
- journal article
- research article
- Published by Elsevier BV in Information Sciences
- Vol. 448, 53-74
- https://doi.org/10.1016/j.ins.2018.03.013
Abstract
No abstract availableFunding Information
- Ontario Centres of Excellence (NSERC CRD 499024-16)
This publication has 25 references indexed in Scilit:
- The Vessel Schedule Recovery Problem (VSRP) – A MIP model for handling disruptions in liner shippingEuropean Journal of Operational Research, 2013
- A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithmsSwarm and Evolutionary Computation, 2011
- Reducing fuel emissions by optimizing speed on shipping routesJournal of the Operational Research Society, 2010
- Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity indexComputer Physics Communications, 2010
- A multi-objective stochastic programming approach for supply chain design considering riskInternational Journal of Production Economics, 2008
- The Severity of Supply Chain Disruptions: Design Characteristics and Mitigation CapabilitiesDecision Sciences, 2007
- Robust strategies for mitigating supply chain disruptionsInternational Journal of Logistics Research and Applications, 2006
- The Time Factor in Liner Shipping ServicesMaritime Economics & Logistics, 2006
- Managing Disruption Risks in Supply ChainsProduction and Operations Management, 2005
- A fast and elitist multiobjective genetic algorithm: NSGA-IIIEEE Transactions on Evolutionary Computation, 2002