Sökning: "Genetiska algoritmer"

Visar resultat 11 - 15 av 72 uppsatser innehållade orden Genetiska algoritmer.

  1. 11. Periodical Maintenance Modelling and Optimisation Assuming Imperfect Preventive Maintenance and Perfect Corrective Maintenance

    Master-uppsats, KTH/Optimeringslära och systemteori

    Författare :Madeleine Engvall Birr; Lisette Lansryd; [2021]
    Nyckelord :Master Thesis; Maintenance Management; Maintenance Modelling; Imperfect PM; Perfect CM; Periodic Policy; Genetic Algorithms; Age Reduction; Masterexamensarbete; Underhållsarbete; Underhållsmodellering; Ofullständiga FU; Perfekta AU; Periodisk Planläggning; Genetiska Algoritmer; Åldersreduktion;

    Sammanfattning : In this paper, a periodic maintenance model is formulated assumingcontinuous monitoring, imperfect preventive maintenance (PM) and perfect correctivemaintenance (CM) using three decision variables, (I, N, Z). The model is derived in aninfinite horizon context where the mean cost per unit time is modelled. LÄS MER

  3. 12. A scalable species-based genetic algorithm for reinforcement learning

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

    Författare :Anirudh Seth; [2021]
    Nyckelord :neuroevolution; model encoding; distributed speciation; reinforcement learning; genetic algorithms; evolutionary computing; neuroevolution; model encoding; förstärkningsinlärning; genetiska algoritmer; evolutionär databehandling;

    Sammanfattning : Existing methods in Reinforcement Learning (RL) that rely on gradient estimates suffer from the slow rate of convergence, poor sample efficiency, and computationally expensive training, especially when dealing with complex real-world problems with a sizable dimensionality of the state and action space. In this work, we attempt to leverage the benefits of evolutionary computation as a competitive, scalable, and gradient-free alternative to training deep neural networks for RL-specific problems. LÄS MER

  4. 13. AI utilization in route planning for delivery trucks within the supply chain

    Kandidat-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :André Reis; Sebastian Nordqvist; [2021]
    Nyckelord :Route optimization; Route planning; NEAT; Genetic algorithm; Key factors; Load planning; Machine learning.; Technology and Engineering;

    Sammanfattning : The supply chain has potential for growth. Many different parts can be optimized, and every possible improvement has not yet been tested. LÄS MER

  5. 14. Effective Optimization of Deployment for Wearable Sensors in Transfemoral Prosthesis

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :SURANJAN RAM OTTIKKUTTI; [2020]
    Nyckelord :Sensors; globaloptimization; geneticalgorithms; patternsearch; transducers; transfemoralamputation; Sensorer; global optimering; genetiska algoritmer; mönstersökning; transduktorer; transfemoral amputation;

    Sammanfattning : Transfemoralor above-the-knee amputees face discomfort in their prothesis primarily due to irregular distribution of pressure and shear forces in the Socket-stump interface (SSI). To quantify this discomfort it is necessary to first determine the pressure distribution in the SSI using sensors. LÄS MER

  7. 15. Evaluating Different Genetic Algorithms for a State-machine Combining Assignment Problem

    Master-uppsats, Karlstads universitet

    Författare :Jonathan Hillblom; [2020]
    Nyckelord :Genetic algorithm; meta-heuristic; assingment problem; 2 dimensional representation; state-machine combining;

    Sammanfattning : Deep packet inspection (DPI) is useful as a tool for analyzing internet traffic. Regular expressions (regexps) can be used to detect the network traffic patterns that the DPI is able to identify. LÄS MER