Essays about: "Combinatorial optimization"

Showing result 16 - 20 of 47 essays containing the words Combinatorial optimization.

1. 16. Training Machine Learning-based QSAR models with Conformal Prediction on Experimental Data from DNA-Encoded Chemical Libraries

   University essay from Uppsala universitet/Institutionen för farmaceutisk biovetenskap

   Author : Gökçe Geylan; [2021]
   Keywords : Machine Learning; DNA-Encoded Chemical Library; Support Vector Machine; Random Forest; Conformal Prediction; QSAR;

   Abstract : DNA-encoded chemical libraries (DEL) allows an exhaustive chemical space sampling with a large-scale data consisting of compounds produced through combinatorial synthesis. This novel technology was utilized in the early drug discovery stages for robust hit identification and lead optimization. READ MORE

3. 17. Deep reinforcement learning for real-time power grid topology optimization

   University essay from Lunds universitet/Matematisk statistik

   Author : Jacob Rothschild; [2021]
   Keywords : Deep reinforcement learning; Dueling Deep Q-Network; electricity transmission network; real-time topology optimization; sustainable energy; Mathematics and Statistics;

   Abstract : In our pursuit of carbon neutrality, drastic changes to generation and consumption of electricity will cause new and complex demands on the power grid and its operators. A cheap, promising, and under-exploited mitigation is real-time power grid topology optimization (RTTO). READ MORE

4. 18. The MiniZinc-SAT Compiler

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Hendrik Bierlee; [2021]
   Keywords : ;

   Abstract : Combinatorial (optimization) problems occur in nature and society. Constraint modeling languages such as MiniZinc allow the user to declaratively specify such problems in terms of its decision variables and constraints. Subsequently, the MiniZinc model can be compiled into an equivalent (Boolean) SAT formula to be solved by a SAT solver. READ MORE

5. 19. Using a multi-objective cuckoo search algorithm to solve the urban transit routing problem

   University essay from KTH/Optimeringslära och systemteori

   Author : Linus Ekelöf; [2021]
   Keywords : optimization; applied mathematics; cuckoo search; metaheuristic algorithm; urban transit routing problem; optimering; tillämpad matematik; cuckoo search; metaheuristisk algoritm; optimering av kollektivtrafiknät;

   Abstract : The design of public transportation networks includes the problem of finding efficient transit routes. This problem is called the Urban Transit Routing Problem (UTRP) and it is a highly complex combinatorial optimization problem. READ MORE

6. 20. Learning model predictive control with application to quadcopter trajectory tracking

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

   Author : Abhishek Maji; [2020]
   Keywords : Data driven; iterative learning control; learning; optimal control; predictive control; Datadriven; iterativ inlärningskontroll; inlärning; optimal kontroll; förutsägbar kontroll;

   Abstract : In thiswork, we develop a learning model predictive controller (LMPC) for energy-optimaltracking of periodic trajectories for a quadcopter. The main advantage of this controller isthat it is “reference-free”. Moreover, the controller is able to improve its performance overiterations by incorporating learning from the previous iterations. READ MORE