Sökning: "Static optimization"

Visar resultat 1 - 5 av 140 avhandlingar innehållade orden Static optimization.

  1. 1. A bilevel approach to parameter tuning of optimization algorithms using evolutionary computing : Understanding optimization algorithms through optimization

    Författare :Martin Andersson; Amos Ng; Sunith Bandaru; Kalyanmoy Deb; Juergen Branke; Högskolan i Skövde; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Production and Automation Engineering; Produktion och automatiseringsteknik;

    Sammanfattning : Most optimization problems found in the real world cannot be solved using analytical methods. For these types of difficult optimization problems, an alternative approach is needed. LÄS MER

  2. 2. Muscular forces from static optimization

    Författare :Sofia Heintz; Anders Eriksson; Elena Gutierrez-Farewik; Anton Arndt; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; movement analysis; muscle forces; static optimization; Other engineering mechanics; Övrig teknisk mekanik;

    Sammanfattning : At every joint there is a redundant set of muscle activated during movement or loading of the system. Optimization techniques are needed to evaluate individual forces in every muscle. The objective in this thesis was to use static optimization techniques to calculate individual muscle forces in the human extremities. LÄS MER

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

    Författare :Florian Siegmund; Kalyanmoy Deb; Amos H.C. Ng; Sanaz Mostaghim; Högskolan i Skövde; []
    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

  4. 4. Analysis of Acrylamide and Anthocyanins in Foods : Extraction Optimization for Challenging Analytes

    Författare :Erik V. Petersson; Charlotta Turner; Johan Rosén; Rolf Danielsson; Marja-Liisa Riekkola; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Analysis; Extraction; Optimization; Acrylamide; Anthocyanins; Foods; Challenges; Analytical chemistry; Analytisk kemi; Analytical Chemistry; Analytisk kemi;

    Sammanfattning : In this thesis, the main concern has been to improve the reliability of different parts of the analytical workflow (Paper I, II, IV &V). Additionally, one of the resulting optimized methods was used in a real application (Paper III). Paper I-II concerned the extraction of acrylamide (AA) from foods. LÄS MER

  5. 5. Bringing Together Lean, Simulation and Optimization : Defining a framework to support decision-making in system design and improvement

    Författare :Ainhoa Goienetxea Uriarte; Amos H. C. Ng; Matías Urenda Moris; Stewart Robinson; Högskolan i Skövde; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; lean; simulation; optimization; decision-making; Production and Automation Engineering; Produktion och automatiseringsteknik;

    Sammanfattning : The rapid changes in the market including globalization, the requirement for personalizedproducts and services by the customers, shorter product life-cycles, the exponential growthof technological advances, and the demographical changes, will demand organizations toeffectively improve and design their systems in order to survive. This is the actual paradigmcharacterizing the industrial and service sectors. LÄS MER