The Bocop project aims to develop an open-source toolbox for solving optimal control problems, with collaborations with industrial and academic partners. Optimal control (optimization of dynamical systems governed by differential equations) has numerous applications in transportation, energy, process optimization, and biology. Bocop is developed since 2010 in the framework of the Inria-Saclay initiative for an open source optimal control toolbox, and is supported by the team Commands. Bocop is released under the Eclipse Public License (EPL).

References in zbMATH (referenced in 36 articles )

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  1. Amaya, Jorge; Hermosilla, Cristopher; Molina, Emilio: Optimality conditions for the continuous model of the final open pit problem (2021)
  2. Aspri, Andrea; Beretta, Elena; Gandolfi, Alberto; Wasmer, Etienne: Mortality containment vs. economics opening: optimal policies in a SEIARD model (2021)
  3. Mairet, Francis; Bayen, Térence: The promise of dawn: microalgae photoacclimation as an optimal control problem of resource allocation (2021)
  4. Bakir, Toufik; Bonnard, Bernard; Bourdin, Loïc; Rouot, Jérémy: Pontryagin-type conditions for optimal muscular force response to functional electrical stimulations (2020)
  5. Berret, Bastien; Jean, Frédéric: Efficient computation of optimal open-loop controls for stochastic systems (2020)
  6. Bonnard, Bernard; Cots, Olivier; Rouot, Jérémy; Verron, Thibaut: Time minimal saturation of a pair of spins and application in magnetic resonance imaging (2020)
  7. Chen-Charpentier, Benito M.; Jackson, Mark: Direct and indirect optimal control applied to plant virus propagation with seasonality and delays (2020)
  8. Grigorieva, Ellina V.; Khailov, Evgenii N.: Optimal strategies of the psoriasis treatment by suppressing the interaction between T-lymphocytes and dendritic cells (2020)
  9. Grigorieva, Ellina V.; Khailov, Evgenii N.; Korobeinikov, Andrei: Optimal controls of the highly active antiretroviral therapy (2020)
  10. Khailov, Evgenii; Grigorieva, Ellina; Klimenkova, Anna: Optimal CAR T-cell immunotherapy strategies for a leukemia treatment model (2020)
  11. Luk’yanova, L. N.: Optimization of economic indicators with delayed asset commissioning (2020)
  12. Grigorenko, N. L.; Grigorieva, É. V.; Roi, P. K.; Khailov, E. N.: Optimal control problems for a mathematical model of the treatment of psoriasis (2019)
  13. Haddon, Antoine; Hermosilla, Cristopher: An algorithm for maximizing the biogas production in a chemostat (2019)
  14. Khailov, Evgenii N.; Klimenkova, Anna D.; Korobeinikov, Andrei: Optimal control for anticancer therapy (2019)
  15. Yegorov, Ivan; Mairet, Francis; de Jong, Hidde; Gouzé, Jean-Luc: Optimal control of bacterial growth for the maximization of metabolite production (2019)
  16. Bettiol, P.; Bonnard, B.; Rouot, J.: Optimal strokes at low Reynolds number: a geometric and numerical study of copepod and purcell swimmers (2018)
  17. Bonnard, Bernard; Chyba, Monique; Rouot, Jérémy: Geometric and numerical optimal control. Application to swimming at low Reynolds number and magnetic resonance imaging (2018)
  18. Bonnard, Bernard; Chyba, Monique; Rouot, Jéremy; Takagi, Daisuke: Sub-Riemannian geometry, Hamiltonian dynamics, micro-swimmers, copepod nauplii and copepod robot (2018)
  19. Cots, Olivier; Gergaud, Joseph; Goubinat, Damien: Direct and indirect methods in optimal control with state constraints and the climbing trajectory of an aircraft (2018)
  20. Heymann, Benjamin; Martinon, Pierre: Optimal battery aging: an adaptive weights dynamic programming algorithm (2018)

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