Search for dissertations about: "Evolutionary Optimization"
Showing result 1 - 5 of 52 swedish dissertations containing the words Evolutionary Optimization.
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1. Evolutionary innovation : Early industrial uses of genetic engineering
Abstract : 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. READ MORE
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2. A bilevel approach to parameter tuning of optimization algorithms using evolutionary computing : Understanding optimization algorithms through optimization
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
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3. Evolving intelligence : Overcoming challenges for Evolutionary Deep Learning
Abstract : 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. READ MORE
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4. Dynamic Resampling for Preference-based Evolutionary Multi-objective Optimization of Stochastic Systems : Improving the efficiency of time-constrained optimization
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
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5. Maintenance optimization for power distribution systems
Abstract : 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. READ MORE