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文献信息
Computational Management Science (CMS) is an international journal focusing on all computational aspects of management science. These include theoretical and empirical analysis of computational models; computational statistics; analysis and applications of constrained, unconstrained, robust, stochastic and combinatorial optimisation algorithms; dynamic models, such as dynamic programming and decision trees; new search tools and algorithms for global optimisation, modelling, learning and forecasting; models and tools of knowledge acquisition.
Portfolio OptimizationRobust OptimizationPortfolio SelectionDual Dynamic ProgrammingOption PricingManagement ScienceVariational InequalitiesComputational ManagementSupport Vector MachinesConditional ValueInteger ProgrammingNash EquilibriumConvex OptimizationPortfolio ManagementAsset AllocationComputational ExperimentsDistributionally Robust OptimizationNumerical ExperimentsFacility LocationStochastic Dynamic Programming
vol.23 (2025)
vol.22 (2025)
vol.21 (2024)
vol.20 (2023)
vol.19 (2022)
vol.18 (2021)
vol.17 (2020)
vol.16 (2019)
vol.15 (2018)
vol.14 (2017)
vol.13 (2016)
vol.12 (2015)
vol.11 (2014)
vol.10 (2013)
vol.9 (2012)
vol.8 (2011)
vol.7 (2010)
vol.6 (2009)
vol.5 (2008)
vol.4 (2007)
vol.3 (2006)
vol.2 (2005)
Chamochumbi Diaz, Gail DenissePalazzi, FedericaSorini, Laerte