Sökning: "Optimization"

Visar resultat 11 - 15 av 2303 avhandlingar innehållade ordet Optimization.

  1. 11. Toward Robust Optimization of Adaptive Radiation Therapy

    Detta är en avhandling från Stockholm, Sweden : KTH Royal Institute of Technology

    Författare :Michelle Böck; Anders Forsgren; Minsun Kim; [2019]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; optimization; adaptive radiation therapy; radiation therapy treatment planning; uncertainty; robust optimization; stochastic programming; Tillämpad matematik och beräkningsmatematik; Applied and Computational Mathematics;

    Sammanfattning : Adaptive radiation therapy is an evolving cancer treatment approach which relies on adapting the treatment plan in response to patient-specific interfractional geometric variations occurring during the fractionated treatment. If those variations are not addressed through adaptive replanning, the resulting treatment quality may be compromised. LÄS MER

  2. 12. Inverse problems in signal processing Functional optimization, parameter estimation and machine learning

    Detta är en avhandling från Stockholm : KTH Royal Institute of Technology

    Författare :Pol del Aguila Pla; Joakim Jaldén; Yonina C. Eldar; [2019]
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; inverse problems; signal processing; machine learning; biomedical imaging; optimization; proximal optimization; regularization; mathematical modeling; identifiability; likelihood; logconcavity; immunoassays; convolutional coding; functional analysis; abstract inference; learned iterations; unrolled algorithms; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : Inverse problems arise in any scientific endeavor. Indeed, it is seldom the case that our senses or basic instruments, i.e., the data, provide the answer we seek. LÄS MER

  3. 13. Approximation of topology optimization problems using sizing optimization problems

    Detta är en avhandling från Göteborg : Chalmers University of Technology

    Författare :Anton Evgrafov; Göteborgs universitet.; Gothenburg University.; [2004]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; structural optimization; bilevel programming; approximation; topology optimization; control in coefficients; optimal design; fictitious domain; control in coefficients; bilevel programming; optimal design; topology optimization; fictitious domain; approximation;

    Sammanfattning : The present work is devoted to approximation techniques for singular extremal problems arising from optimal design problems in structural and fluid mechanics. The thesis consists of an introductory part and four independent papers, which however are united by the common idea of approximation and the related application areas. LÄS MER

  4. 14. Maintenance optimization for power distribution systems

    Detta är en avhandling från Stockholm : KTH

    Författare :Patrik Hilber; Lina Bertling; Roland Eriksson; Lalit Goel; [2008]
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Reliability Importance Index; Multiobjective Optimization; Maintenance Optimization; Asset Management; Customer Interruption Cost; Reliability Centred Maintenance RCM ; Reliability Centered Asset Management RCAM ; Monte Carlo Simulation; Evolutionary Particle Swarm Optimization.; TECHNOLOGY Electrical engineering; electronics and photonics Electric power engineering; TEKNIKVETENSKAP Elektroteknik; elektronik och fotonik Elkraftteknik;

    Sammanfattning : Maximum asset performance is one of the major goals for electric power distribution system operators (DSOs). To reach this goal minimal life cycle cost and maintenance optimization become crucial while meeting demands from customers and regulators. LÄS MER

  5. 15. Dynamic Resampling for Preference-based Evolutionary Multi-objective Optimization of Stochastic Systems Improving the efficiency of time-constrained optimization

    Detta är en avhandling från Stockholm : KTH

    Författare :Florian Siegmund; Kalyanmoy Deb; Amos H.C. Ng; Sanaz Mostaghim; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Evolutionary multi-objective optimization; simulation-based optimization; guided search; preference-based optimization; reference point; decision support; noise; stochastic systems; dynamic resampling; budget allocation; sequential sampling; hybrid; ranking and selection; Natural sciences; Naturvetenskap; Technology; Teknik; Production and Automation Engineering; Produktion och automatiseringsteknik;

    Sammanfattning : In preference-based Evolutionary Multi-objective Optimization (EMO), the decision maker is looking for a diverse, but locally focused non-dominated front in a preferred area of the objective space, as close as possible to the true Pareto-front. Since solutions found outside the area of interest are considered less important or even irrelevant, the optimization can focus its efforts on the preferred area and find the solutions that the decision maker is looking for more quickly, i. LÄS MER