Search for dissertations about: "Sunith Bandaru"

Found 3 swedish dissertations containing the words Sunith Bandaru.

  1. 1. Metamodel based multi-objective optimization

    Author : Kaveh Amouzgar; Peter Hansbo; Niclas Strömberg; Kent Salomonsson; Sunith Bandaru; Högskolan i Jönköping; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; NATURVETENSKAP; NATURAL SCIENCES; 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. 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 : SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; 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

  3. 3. An interactive decision support system using simulation-based optimization and knowledge extraction

    Author : Ingemar Karlsson; Amos Ng; Anna Syberfeldt; Sunith Bandaru; Leif Pehrsson; Anders Skoogh; Högskolan i Skövde; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Production and Automation Engineering; Produktion och automatiseringsteknik;

    Abstract : The use of simulation to improve existing manufacturing systems is not new, but simulation can also be used increase the understanding of production systems that have not yet been built. The power of simulation models can be further enhanced by using simulation-based optimization, in which an optimization algorithm tries to find optimal solutions, given certain objectives. READ MORE