- 充值
- 会员
- 职称材料
文献信息
JIMO is an international journal devoted to publishing peer-reviewed, high quality, original papers on the non-trivial interplay between numerical optimization methods and practically significant problems in industry or management so as to achieve superior design, planning and/or operation. Its objective is to promote collaboration between optimization specialists, industrial practitioners and management scientists so that important practical industrial and management problems can be addressed by the use of appropriate, recent advanced optimization techniques.
Supply ChainManagement OptimizationGlobal ConvergenceOptimality ConditionsPortfolio SelectionNumerical ExperimentsOptimal ControlVariational InequalityInventory ModelSupply Chain ManagementOptimal Control ProblemOptimal InvestmentObjective FunctionOptimal SolutionNecessary Optimality ConditionsSufficient Optimality ConditionsGlobal OptimizationGenetic AlgorithmUncertainty TheorySupply Chain Coordination
vol.22 (2026)
vol.21 (2025)
vol.21 (2024)
vol.20 (2024)
vol.19 (2023)
vol.18 (2022)
vol.17 (2021)
vol.16 (2020)
vol.15 (2019)
vol.14 (2018)
vol.13 (2017)
vol.12 (2016)
vol.11 (2015)
vol.10 (2014)
vol.9 (2013)
vol.8 (2012)
vol.7 (2011)
vol.6 (2010)
vol.5 (2009)
vol.4 (2008)
vol.3 (2007)
vol.2 (2006)
vol.1 (2005)
Soloviev, Vicente P.Larranaga, PedroBernabei, MarcoChirita, Marina A.Seoane, Jose M.Fontan, PedroBielza, Concha