Search for dissertations about: "multi-objective operation"

Showing result 1 - 5 of 24 swedish dissertations containing the words multi-objective operation.

2. 1. Robust Multi-objective Optimization of Rare Earth Element Chromatography

   Author : Hans-Kristian Knutson; Avdelningen för kemiteknik; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Chromatography; Rare earth elements; Modeling; Multi-objective optimization; Robust optimization; Chromatography; Rare earth elements; Modeling; Multi-objective optimization; Robust optimization;

   Abstract : Rare earth elements comprise the metallic elements known as lanthanides as well as scandium and yttrium. They are extensively used in modern technological industries and are considered as strategic commodities in many countries. READ MORE

4. 2. Effects of Watershed Dynamics on Water Reservoir Operation Planning : Considering the Dynamic Effects of Streamflow in Hydropower Operation

   Author : Nicholas Zmijewski; Anders Wörman; Andrea Bottacin-Busolin; Francesca Pianosi; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; reservoir operation; dispersion processes; wave diffusion; multi-objective operation; water resource management; discharge variability; power spectrum analysis; Byggvetenskap; Civil and Architectural Engineering;

   Abstract : Water reservoirs are used to regulate river discharge for a variety of reasons, such as flood mitigation, water availability for irrigation, municipal consumption and power production purposes. Recent efforts to increase the amount of renewable power production have seen an increase in intermittent climate-variable power production due to wind and solar power production. READ MORE

5. 3. Two-Level Multi-Objective Genetic Algorithm for Risk-Based Life Cycle Cost Analysis

   Author : Yamur K. Al-Douri; Uday Kumar; Jan Lundberg; Hussan Hamodi; Ahmed Al-Dubai; Luleå tekniska universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Artificial intelligence AI ; Life cycle cost LCC ; Machine learning ML ; Multi-objective genetic algorithm MOGA ; Risk-based life cycle cost LCC ; Tunnel fans; Two-level system; Operation and Maintenance Engineering; Drift och underhållsteknik;

   Abstract : Artificial intelligence (AI) is one of the fields in science and engineering and encompasses a wide variety of subfields, ranging from general areas (learning and perception) to specific topics, such as mathematical theorems. AI and, specifically, multi-objective genetic algorithms (MOGAs) for risk-based life cycle cost (LCC) analysis should be performed to estimate the optimal replacement time of tunnel fan systems, with a view towards reducing the ownership cost and the risk cost and increasing company profitability from an economic point of view. READ MORE

6. 4. Metamodel Based Multi-Objective Optimization with Finite-Element Applications

   Author : Kaveh Amouzgar; Amos H. C. Ng; Kent Salomonsson; Tobias J. Andersson; Johan Ölvander; Högskolan i Skövde; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Production and Automation Engineering; Produktion och automatiseringsteknik;

   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

7. 5. Evolutionary Materialism: Towards a Theory of Anticipatory Adaptive Assemblages

   Author : Magnus Larsson; Magnus Wålinder; Andreas Falk; Olga Popovic Larsen; KTH; []
   Keywords : Building materials; multi-objective optimisation; genetic algorithms; evolutionary architecture; material phase transitions; generative LCA; parametric epistemic things; presilience; postponism; anticipation; adaptation; simulation; Grasshopper; Byggnadsmaterial; flermålsop2mering; gene2ska algoritmer; evolu2onär arkitektur; materialbaserade fasövergångar; genera2v LCA; parametriska epistemiska 2ng; presiliens; postponism; antecipa2on; adap2on; simulering; Grasshopper; Building Materials; Byggnadsmaterial;

   Abstract : This thesis is an investigation into how meta-heuristic multi-objective optimisation processes (genetic algorithms driven by evolutionary solvers) can bring about materials-related advantages in architectural performance. It redefines the architect’s and engineer’s role from being designers of a singular space or structure to being designers of entire species of spaces, and discusses a particular method – anticipatory adaptive assemblages (AAA) – that allows such processes to produce many generations of design iterations that eventually yield individuals optimised for a set of predefined objectives. READ MORE