Sökning: "costly global optimization"

Visar resultat 1 - 5 av 9 uppsatser innehållade orden costly global optimization.

  1. 1. Implementing Life Cycle Assessment in the Product Development Process : Creating a simplified LCA-tool to support decision making and implement sustainability as a design parameter

    Master-uppsats, Linköpings universitet/Industriell miljöteknik

    Författare :Markus Johansson; Jonatan Sars; [2023]
    Nyckelord :;

    Sammanfattning : Design is described as the main factor influencing a product's sustainability, and with industrial growth, global interest in sustainability issues has also increased. Furthermore, the design process is an important part when companies are to reduce climate impact of their products, and that the demand for more environmentally friendly products is increasing. LÄS MER

  3. 2. Implementing Artificial Intelligence in Supply Chain Management : A Qualitative Study of How Manufacturing Companies Can Implement AI to Improve Supply Chain Management

    Master-uppsats, Umeå universitet/Företagsekonomi

    Författare :Alva Norgren; Wilma Janzon Hägglund; [2023]
    Nyckelord :Supply Chain Management; Artificial Intelligence; Manufacturing Industry; Artificial Intelligence Implementation Process;

    Sammanfattning : The emergence of new technologies, such as artificial intelligence (AI), is transforming society and changing fundamental beliefs about money, value judgments, and enterprise implications. AI is becoming increasingly prevalent, serving as an exceptional advisor and an omniscient informant. LÄS MER

  4. 3. Improving Co-existence of URLLC and Distributed AI using RL

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

    Författare :Wei Shi; [2023]
    Nyckelord :5G; URLLC; RL; HRL; Optimization; 5G; URLLC; RL; HRL; Optimering;

    Sammanfattning : In 5G, Ultra-reliable and low-Latency communications (URLLC) service is envisioned to enable use cases with strict reliability and latency requirements on wireless communication. For the upcoming 6G network, machine learning (ML) also stands an important role that introduces intelligence and further enhances the system performance. LÄS MER

  5. 4. Benchmarking a memetic algorithm for global all-atom protein-protein docking with backbone flexibility

    Kandidat-uppsats, Lunds universitet/Kemiska institutionen

    Författare :Vera Karlin; [2022]
    Nyckelord :biochemistry; EvoDOCK; algorithm; protein; iRMSD; DockQ; CAPRI; Chemistry;

    Sammanfattning : 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. LÄS MER

  7. 5. Optimering av kontakt med kontaktledning hos tåg: : Utplacerade massors påverkan på kontaktkraftens kvalitet

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Hector Älfvåg; Jakob Lindbergh; [2019]
    Nyckelord :;

    Sammanfattning : Detta projekt behandlar huruvida strategiskt utplacerade massor längs ett tågs kontaktledning kan förbättra prestandan i kontaktkraften mellan kontaktledningen och tågets strömavtagare, och specifikt minska fluktuationen. Det skulle innebära ett sätt att förbättra prestandan som bara kräver små modifikationer på infrastrukturen istället för att byta ut hela strukturer, som är miljömässigt och ekonomiskt kostsamt. LÄS MER