Search for dissertations about: "Kalyanmoy Deb"

Found 3 swedish dissertations containing the words Kalyanmoy Deb.

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

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

    Abstract : 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. READ MORE

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

    Author : Jacob Bernedixen; Amos H. C. Ng; Anna Syberfeldt; Kalyanmoy Deb; Leif Pehrsson; Magnus Wiktorsson; Högskolan i Skövde; []
    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. 3. Dynamic Resampling for Preference-based Evolutionary Multi-objective Optimization of Stochastic Systems : Improving the efficiency of time-constrained optimization

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