Explore: Optimisation Système

Sécheron SA joined with several groups in Geneva TOSA (Trolleybus Optimisation Système Alimentation, or in English, Trolleybus Power System Optimization)

Michael (2010). Bayesian Gaussian Processes for Sequential Prediction, Optimisation and Quadrature (PDF) (thesis). University of Oxford. Ruschel, João Paulo

artificial selection. Artificial evolution became a widely recognised optimisation method as a result of the work of Ingo Rechenberg in the 1960s and early

one cast with a variable cross section.[clarification needed] Simple optimisation methods may be used to design a variable cross section member in which

"11.3: Trennungssatz von Eidelheit". Optimierung und Approximation [Optimisation and Approximation] (in German). Walter de Gruyter. ISBN 978-3-11-021814-5

artificial selection. Artificial evolution became a widely recognised optimisation method as a result of the work of Ingo Rechenberg in the 1960s. He used

strategy algorithm in well placement, trajectory, control and joint optimisation". Journal of Petroleum Science and Engineering. 177: 1042–1058. Bibcode:2019JPSE

Stender, J.; Hillebrand, E.; Kingdon, J. (1994). Genetic algorithms in optimisation, simulation, and modelling. Amsterdam: IOS Press. ISBN 90-5199-180-0

individual details to the whole structure, the approach focuses on the optimisation of form and construction with respect to material and energy use, durability

respective value range of the decision variables to be changed of the optimisation problem to be solved is usually limited. Accordingly, the values of the