Search for dissertations about: "Evolutionary multi-objective optimization"

Showing result 1 - 5 of 8 swedish dissertations containing the words Evolutionary multi-objective optimization.

  1. 1. Metamodel based multi-objective optimization

    University dissertation from Jönköping : Jönköping University, School of Engineering

    Author : Kaveh Amouzgar; Högskolan i Jönköping.; [2015]
    Keywords : 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;

    Abstract : 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. READ MORE

  2. 2. Multi-objective optimization of railway bogie suspension damping

    University dissertation from Chalmers University of Technology

    Author : Albin Johnsson; Chalmers tekniska högskola.; Chalmers University of Technology.; [2011]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Optimeringslära; systemteori; Optimization; systems theory; Farkostteknik; Vehicle engineering; Fastkroppsmekanik; Solid mechanics; Övrig teknisk mekanik; Other engineering mechanics; Multi-objective optimization; Railway vehicle dynamics; Bogie suspension design; Pareto optimized bogie primary and secondary suspensions damping;

    Abstract : In this thesis multi-objective optimization is used to find Pareto fronts showing the set of optimized damping parameters of primary and secondary bogie suspensions. Special interests are put on requirements to enhance safety and comfort of a railway vehicle. READ MORE

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

    University dissertation from Skövde : Högskolan i Skövde

    Author : Florian Siegmund; Högskolan i Skövde.; Högskolan i Skövde.; [2016]
    Keywords : 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;

    Abstract : 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. READ MORE

  4. 4. Automated Bottleneck Analysis of Production Systems Increasing the applicability of simulation-based multi-objective optimization for bottleneck analysis within industry

    University dissertation from Skövde : University of Skövde

    Author : Jacob Bernedixen; Högskolan i Skövde.; Högskolan i Skövde.; [2018]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; bottleneck analysis; bottleneck identification; bottleneck improvement; multi-objective optimization; simulation; Production and Automation Engineering; Produktion och automatiseringsteknik;

    Abstract : Manufacturing companies constantly need to explore new management strategies and new methods to increase the efficiency of their production systems and retain their competitiveness. It is of paramount importance to develop new bottleneck analysis methods that can identify the factors that impede the overall performance of their productionsystems so that the optimal improvement actions can be performed. READ MORE

  5. 5. Metamodel Based Multi-Objective Optimization with Finite-Element Applications

    University dissertation from Högskolan i Skövde

    Author : Kaveh Amouzgar; Högskolan i Skövde.; [2018]
    Keywords : ;

    Abstract : As a result of the increase in accessibility of computational resources and the increase of computer power during the last two decades, designers are able to create computer models to simulate the behavior of complex products. To address global competitiveness, companies are forced to optimize the design of their products and production processes. READ MORE