Sökning: "evolutionary optimization"

Visar resultat 1 - 5 av 52 avhandlingar innehållade orden evolutionary optimization.

  1. 1. Evolutionary innovation : Early industrial uses of genetic engineering

    Författare :Maureen McKelvey; Linköpings universitet; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Biotechnology industry; Economics of innovation; Evolutionary Economics; Genentech; human growth hormone; Kabi; technological innovation; INTERDISCIPLINARY RESEARCH AREAS; TVÄRVETENSKAPLIGA FORSKNINGSOMRÅDEN;

    Sammanfattning : Based on an analysis of biological and economic theories of evol~tion, this dissertation first specifies evolutionary innovation and then uses it toanalyze early industrial uses of genetic engineering. Innovation refers totechnological innovation processes, i.e. series of innovative activitiesresulting in technical change. LÄS MER

  3. 2. 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

  4. 3. Evolving intelligence : Overcoming challenges for Evolutionary Deep Learning

    Författare :Mohammed Ghaith Altarabichi; Sławomir Nowaczyk; Sepideh Pashami; Peyman Sheikholharam Mashhadi; Niklas Lavesson; Högskolan i Halmstad; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; neural networks; evolutionary deep learning; evolutionary machine learning; feature selection; hyperparameter optimization; evolutionary computation; particle swarm optimization; genetic algorithm;

    Sammanfattning : Deep Learning (DL) has achieved remarkable results in both academic and industrial fields over the last few years. However, DL models are often hard to design and require proper selection of features and tuning of hyper-parameters to achieve high performance. These selections are tedious for human experts and require substantial time and resources. LÄS MER

  5. 4. 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

  7. 5. Maintenance optimization for power distribution systems

    Författare :Patrik Hilber; Lina Bertling; Roland Eriksson; Lalit Goel; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Reliability Importance Index; Multiobjective Optimization; Maintenance Optimization; Asset Management; Customer Interruption Cost; Reliability Centred Maintenance RCM ; Reliability Centered Asset Management RCAM ; Monte Carlo Simulation; Evolutionary Particle Swarm Optimization.; Electric power engineering; Elkraftteknik;

    Sammanfattning : Maximum asset performance is one of the major goals for electric power distribution system operators (DSOs). To reach this goal minimal life cycle cost and maintenance optimization become crucial while meeting demands from customers and regulators. LÄS MER