Sökning: "Genetic programming"

Visar resultat 1 - 5 av 47 uppsatser innehållade orden Genetic programming.

1. 1. Using Quality Diversity in Genetic Programming to Improve Automatic Learning of Behaviour Trees

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Alexander Willemsen; [2023]
   Nyckelord :Behaviour Trees; Genetic Programming; Quality Diversity; Gedragsbomen; Genetische Programmering; Kwaliteitsdiversiteit; Beteendeträd; Genetisk Programmering; Kvalitetsmångfald;

   Sammanfattning : One of the main purposes of the fields of Robotics and Artificial Intelligence is to develop solutions that can autonomously solve problems. An important part of this is synthesising behaviours of robots. Behaviour Trees are a tree structure that enables combining existing lower level behaviours into a high level behaviour through task switching. LÄS MER

3. 2. An Evaluation of GeneticAlgorithm Approaches for theUnit Commitment Problem inPower Generation Scheduling

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Nandini Mattathil Suresh; [2023]
   Nyckelord :Unit Commitment Problem; Genetic Algorithm; Meta-heuristics; Economic Dispatch; Constrained Optimization; Encoding; Crossover; Mutation; Selection;

   Sammanfattning : The Unit Commitment Problem (UCP) poses a significant challenge in optimizing powergeneration schedules within complex and dynamic energy systems. This study explores theapplication of Genetic Algorithms (GAs) as a promising approach to address UCP, their ability tonavigate complex solution spaces and adapt to changing operational conditions. LÄS MER

4. 3. Automated Image Pre-Processing for Optimized Text Extraction Using Reinforcement Learning and Genetic Algorithms

   Kandidat-uppsats,

   Författare :Rahmat Rohoullah; Månsson Joakim; [2023]
   Nyckelord :BRISK; YOLO; Reinforcement learning; Evolutionary algorithm; OCR; Image pre-processing; Computer vision; BRISK; YOLO; Förstärkningslärning; Evolutionär algorithm; OCR; Bildförbehandling; Datorseende;

   Sammanfattning : This project aims to develop an automated image pre-processing chain to extract valuable information from appliance labels before recycling. The primary goal is to improve optical character recognition accuracy by addressing noise issues using reinforcement learning and an evolutionary algorithm. LÄS MER

5. 4. A method of detecting and predicting attack vectors based on genetic programming

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Yekatierina Churakova; Oleksii Novikov; [2023]
   Nyckelord :MITTRE ATT CK; genetic programming; attack vectors; attack prediction;

   Sammanfattning : This Master's thesis presents a novel approach for detecting and predicting attack vectors based on genetic programming. The proposed method utilizes a genetic algorithm to evolve a set of rules that predict attack vectors over the system based on caught indicators of compromise. LÄS MER

7. 5. A multi-gene symbolic regression approach for predicting LGD : A benchmark comparative study

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Hanna Tuoremaa; [2023]
   Nyckelord :Symbolic regression; loss given default; credit risk; logit transformed regression; beta regression; multi-gene genetic programming; regression tree;

   Sammanfattning : Under the Basel accords for measuring regulatory capital requirements, the set of credit risk parameters probability of default (PD), exposure at default (EAD) and loss given default (LGD) are measured with own estimates by the internal rating based approach. The estimated parameters are also the foundation of understanding the actual risk in a banks credit portfolio. LÄS MER