Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 9 of 9 for “"Multi-objective genetic algorithms"”.
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A Homogenization Approach for Design and Simulation of Blast Resistant Composites
… environments and advanced optimization algorithms. The second case study is 2-D and uses an implicit blast simulation, while the third case study is 3-D and simulates blast using the explicit blast method. Both case studies 2 and 3 rely on multi-objective genetic algorithms for the …
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Exploration and assessment of the environmental design space for commercial aircraft and future technologies
… environmental and traditional performance objectives of aircraft concurrently. This context of multi-disciplinary system design is named the Environmental Design Space (EDS) and is studied in this thesis with an integrated aircraft-engine conceptual design framework. With this tool, the …
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Portfolio management using computational intelligence approaches. Forecasting and Optimising the Stock Returns and Stock Volatilities with Fuzzy Logic, Neural Network and Evolutionary Algorithms.
… to predict the future accurately. A number of Multi-Objective Genetic Algorithms are proposed to solve the problem with two objectives subject to cardinality constraints, floor constraints and round-lot constraints. Fuzzy logic is incorporated into the Vector Evaluated Genetic Algorithm (VEGA) …
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Computational Design of Microvascular Biomimetic Materials
… work, we propose to design these materials using Genetic Algorithms (GAs), the most common methodology within a broader category of Evolutionary Algorithms (EAs). GAs can be combined with a Pareto-selection mechanism to create Multi-Objective Genetic Algorithms (MOGAs), which enable the …
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Applying genetic algorithms to multi-objective land-use planning.
This thesis explores the potential of applying genetic algorithms (GAs) to multi-objective land-use planning. Rural land managers, in the UK and elsewhere in Europe, are faced with an increasingly complex decision-making environment where a varied mix of goals have to be achieved. To address this …
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Computational design of microvascular biomimetic materials
… that define the network, and a large number of multidisciplinary objective functions and constraints that drive the optimization process. The computational design tool to be developed must be capable of capturing the trade-off between the different objective and constraint functions, as, for …
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Optimal scheduling and resource utilization for repetitive construction projects
… that is capable of accomplishing these planning objectives. To achieve this goal, the research objectives of this study are to develop (1) a novel heuristic and computationally-efficient scheduling model for repetitive projects that minimizes both the project duration and crew work interruptions; …
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Optimization of Wind Turbine Airfoils/Blades and Wind Farm Layouts
… a numerical optimization method called Genetic Algorithm (GA) is applied to address the shape optimization of wind turbine airfoils and blades. In recent years, the airfoil sections with blunt trailing edge (called flatback airfoils) have been proposed for the inboard regions of large …
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Optimizing site layout and material logistics planning during the construction of critical infrastructure projects
… infrastructure projects. Accordingly, the main objectives of this study are to: (1) formulate novel models of dynamic site layout planning (DSLP) that are capable of generating global optimal solutions of DSLP problems by considering the effects of first stage layout decisions on the layouts of …