Essays about: "evolutionary algorithms"

Showing result 6 - 10 of 71 essays containing the words evolutionary algorithms.

1. 6. Benchmarking a memetic algorithm for global all-atom protein-protein docking with backbone flexibility

   University essay from Lunds universitet/Kemiska institutionen

   Author : Vera Karlin; [2022]
   Keywords : biochemistry; EvoDOCK; algorithm; protein; iRMSD; DockQ; CAPRI; Chemistry;

   Abstract : Determining how proteins interact with each other to form complexes is very important for understanding both disease and cellular functions, but experimentally determining the structures of these complexes is both tedious and slow, which is why a great number of protein-protein docking algorithms have been developed to predict them. To this day, conformational changes in protein backbones have been one of the largest challenges when making docking predictions. READ MORE

3. 7. Boost Converter Inductor Design for High-Power Fuel Cells Using Pareto Optimisation for Single and Coupled Cores

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Lucas Tunelid; [2022]
   Keywords : Fuel Cells; Interface Converters; Inductor Design; Mutiobjective Optimisation; Bränsleceller; Gränsnittsomvandlare; Induktor Design; Multiobektiv Optimering;

   Abstract : Hydrogen has been identified by the European Commission to be a competitive alternative to fossil fuels within the transport sector in the medium to long perspective. Because of this, an increased understanding is required of the electrical power train present within such vehicles. READ MORE

4. 8. General Game Playing Within Modern TabletopGames Through Rolling Horizon EvolutionaryAlgorithms

   University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)

   Author : Mattias Smedman; [2022]
   Keywords : ai; general game playing; tabletop games; evolutionary algorithms; rolling horizon evolutionary algorithms; pandemic;

   Abstract : Tabletop games have within recent years evolvedto become more and more complex, such as through the useof dynamic rules, permanently changing how the game worksafter a playthrough, and players playing different roles in thegame. This leads to unique challenges for Artificial Intelligence. READ MORE

5. 9. Black Box Optimization Framework for Reinsurance of Large Claims

   University essay from Stockholms universitet/Statistiska institutionen

   Author : Sina Mozayyan; [2022]
   Keywords : augmented Lagrangian; constraint optimization by linear interpolation; derivative-free black box optimization; DIRECT L ; evolutionary optimization; NLopt package; mean-variance premium principle; risk management; Solvency II;

   Abstract : A framework for optimization of reinsurance strategy is proposed for an insurance company with several lines of business (LoB), maximizing the Economic Value of purchasing reinsurance. The economic value is defined as the sum of the average ceded loss, the deducted risk premium, and the reduction in the cost of capital. READ MORE

6. 10. Reinforcement learning for train dispatching : A study on the possibility to use reinforcement learning to optimize train ordering and minimize train delays in disrupted situations, inside the r ail simulator OSRD

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Teodora Popescu; [2022]
   Keywords : ;

   Abstract : Train dispatching is a complex process, especially when the train traffic is disrupted, as the decisions taken by the dispatchers can have substantial consequences on the delays of the trains. The most frequent dispatching decisions consists in changing the order of trains at convergence points, where two tracks unite to become a single track. READ MORE