Sökning: "multi- objective optimization"

Visar resultat 1 - 5 av 137 avhandlingar innehållade orden multi- objective optimization.

  1. 1. Metamodel based multi-objective optimization

    Författare :Kaveh Amouzgar; Peter Hansbo; Niclas Strömberg; Kent Salomonsson; Sunith Bandaru; Jönköping University; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Multi-objective optimization; strength Pareto evolutionary algorithm; SPEA2; metamodel; surrogate model; response surface; radial basis functions; RBF;

    Sammanfattning : As a result of the increase in accessibility of computational resources and the increase in the power of the computers during the last two decades, designers are able to create computer models to simulate the behavior of a complex products. To address global competitiveness, companies are forced to optimize their designs and products. LÄS MER

  2. 2. Learning from Multi-Objective Optimization of Production Systems : A method for analyzing solution sets from multi-objective optimization

    Författare :Catarina Dudas; Henrik Boström; Amos H.C. Ng; Johan Ölvander; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Data mining; Post-optimization analysis; Production system analysis; data- och systemvetenskap; Computer and Systems Sciences;

    Sammanfattning : The process of multi-objective optimization involves finding optimal solutions to several objective functions. However, these are typically in conflict with each other in many real-world problems, such as production system design. 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. Simulation-based multi-objective optimization for reconfigurable manufacturing systems : Reconfigurability, manufacturing, simulation, optimization, rms, multi-objective, knowledge discovery

    Författare :Carlos Alberto Barrera Diaz; Amos Ng; Tehseen Aslam; Amir Nourmohammadi; Thomas Ditlev Brunø; Högskolan i Skövde; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Virtual Production Development VPD ; Virtual Production Development VPD ; VF-KDO; VF-KDO;

    Sammanfattning : In today’s global and aggressive market system, for manufacturing companies to remain competitive, they must manufacture high-quality products that can be produced at a low cost; they also must respond efficiently to customers’ predictable and unpredictable needs and demand variations. Increasingly shortened product lifecycles, as well as product customization degrees, lead to swift changes in the market that need to be supported by capable and flexible resources able to produce faster and deliver to the market in shorter periods while maintaining a high degree of cost-efficiency. LÄS MER

  5. 5. Robust Multi-objective Optimization of Rare Earth Element Chromatography

    Författare :Hans-Kristian Knutson; Avdelningen för kemiteknik; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Chromatography; Rare earth elements; Modeling; Multi-objective optimization; Robust optimization; Chromatography; Rare earth elements; Modeling; Multi-objective optimization; Robust optimization;

    Sammanfattning : Rare earth elements comprise the metallic elements known as lanthanides as well as scandium and yttrium. They are extensively used in modern technological industries and are considered as strategic commodities in many countries. LÄS MER