Sökning: "search algorithms"

Visar resultat 1 - 5 av 338 uppsatser innehållade orden search algorithms.

  1. 1. Evaluating Performance of Pattern Searching Algorithms on Wildcard Patterns

    Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Gustav Lindblad; [2023]
    Nyckelord :;

    Sammanfattning : The pattern matching problem is the problem of finding a set of sequential characters in a text of equal amount of characters or more. There are many applications for pattern matching algorithms e.g. search engines and databases. LÄS MER

  3. 2. Implementing and comparing challengers to popular multi-objective algorithms for unit test cases generation

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :Elias Lindfors; [2023]
    Nyckelord :multi-objective; evosuite; genetic; algorithm;

    Sammanfattning : The topic of multi-objective algorithms has been researched for many years, where hundreds of multi-objective algorithms have been developed. With the field of search-based software engineering attracting use-cases, more research on which algorithms are fitting the area is still lacking. LÄS MER

  4. 3. 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

  5. 4. Investigations of Free Text Indexing Using NLP : Comparisons of Search Algorithms and Models in Apache Solr

    Master-uppsats, Linköpings universitet/Interaktiva och kognitiva system

    Författare :Alfred Sundstedt; [2023]
    Nyckelord :NLP; Apache Solr; Document Retrieval; Context; OpenNLP; BERT;

    Sammanfattning : As Natural Language Processing progresses societal and applications like OpenAI obtain more considerable popularity in society, businesses encourage the integration of NLP into their systems. Both to improve the user experience and provide users with their requested information. LÄS MER

  7. 5. Exploring Advanced Clustering Techniques for Business Descriptions : A Comparative Study and Analysis of DBSCAN, K-Means, and Hierarchical Clustering

    Uppsats för yrkesexamina på avancerad nivå, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

    Författare :Wisam Orabi Alkhen; [2023]
    Nyckelord :Machine learning; Business descriptions; Search scope reduction; Relevant business terminology; Data analysis.;

    Sammanfattning : In this study, we introduce several approaches to analyze large volumes of business descriptions by applying machine learning clustering and classification algorithms. The goal is to efficiently classify these descriptions, reducing the search scope and allowing for better business insights and decision-making processes. LÄS MER