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.
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Showing 1 to 20 of 136 for “"Evolutionary algorithm"”.
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Evolutionary Algorithm For Large-Scale Optimization
… However, the performance of an optimization algorithm deteriorates significantly with the size of the problems, more complex relationships among the variables, and non-standard properties of the fitness function. To deal with these issues, several Evolutionary Algorithms (EAs) based on the …
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Multiobjective Simulation Optimization Using Enhanced Evolutionary Algorithm Approaches
… This research proposes two new multiobjective evolutionary algorithms (MOEAs), called fast Pareto genetic algorithm (FPGA) and stochastic Pareto genetic algorithm (SPGA), for optimization problems with multiple deterministic objectives and stochastic objectives, respectively. New search …
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Improving Protein Docking Using Efficient Sustainable Evolutionary Algorithm
… in structure-based drug-design. Different search algorithms, such as Simulated Annealing, traditional Genetic Algorithm and Lamarckian Genetic Algorithm are used in AutoDock. However, the docking performance of these algorithms is still limited by the local optima issue in simulated annealing or …
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The stored non-domination level multi-objective evolutionary algorithm
… dissertation is in the field of Multi-Objective Evolutionary Algorithms. Evolutionary Algorithms (EAs) are a class of algorithms which model Darwin's theory of evolution to search for solutions to difficult problems. Multi-Objective Evolutionary Algorithms (MOEAs) are a broader case of the …
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Evolutionary algorithm for multiobjective optimization: Cooperative coevolution and new features
The thesis seeks to explore and improve the evolutionary techniques for multiobjective optimization. A cooperative coevolution mechanism is introduced into multiobjective optimization, which evolves multiple solutions in the form of cooperative subpopulations. The cooperation among subpopulations …
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Parallelization of hybrid multi-objective evolutionary algorithm on multi-core architectures
… or the Pareto optimal front. Multi-objective evolutionary algorithms are heuristics that evolve a population of candidate solutions to find the Pareto optimal front in a single run. The selection criterion used to select individuals in the population play an important role in determining the …
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A Hybrid Multi-Objective Evolutionary Algorithm for Wind-Turbine Blade Optimization
A concurrent-hybrid non-dominated sorting genetic algorithm II (hybrid NSGA-II) has been developed and applied to the simultaneous optimization of the annual energy production, flapwise root-bending moment and mass of the National Renewable Energy Laboratory's (NREL) 5MW wind-turbine blade. To …
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Optimisation of a tree structured centralized data network using an evolutionary algorithm
… structured centralized data network using an Evolutionary Algorithm. A centralized data network is also known as a client-server network. In this type of network, the client, which is usually a terminal connected to the network, would send a request for information to the server. The server …
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[a]sorted selection : improving building performance and diversity using a new form of interactive evolutionary algorithm
… methodology, IDEA (interactive diversity-driven evolutionary algorithm), for designers to engage optimization in the early stages of design. IDEA is designed to work in a manner that is comfortable to the designer and easily integrated into the design process. By focusing on similarities and …
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Microbial community analysis of a UASB reactor and application of an evolutionary algorithm to enhance wastewater treatment and biogas production
Submitted in complete fulfillment for the degree of Doctor of Philosophy (Biotechnology), Durban University of Technology, Durban, South Africa, 2015.
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Multi-objective optimisation with financial applications
… There have been several multi-objective evolutionary algorithms that have been used to solve the portfolio optimisation problem in recent years. This thesis recounts the development of a new multi-objective evolutionary algorithm, Adaptive Cell Resolution Evolutionary Algorithm (ACREA), …
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Automatic Game Parameter Tuning using General Video Game Agents
… Intelligence that aims to study the usage of AI algorithms for assisting in game design tasks. This dissertation presents a research work in this field, focusing on applying an evolutionary algorithm to video game parameterization. The task we are interested in is player experience. N-Tuple …
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Microevolutionary language theory
A new microevolutionary theory of complex design within language is proposed. Experiments were carried out that support the theory that complex functional design - adaptive complexity - accumulates due to the evolutionary algorithm at the simplest levels within human natural language. A large …
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Evolutionary Algorithms and Simulation for Intelligent Autonomous Vehicles in Container Terminals
… of applying soft computing techniques, such as evolutionary computation and simulation, to the deployment of intelligent autonomous vehicles (IAVs) in container terminals is the focus of this thesis. IAVs are a new type of intelligent vehicles designed for transportation of containers in …
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Evolving Weighted Networks to Simulate Epidemics and Lockdowns
… is a primary goal of this thesis. A generative evolutionary algorithm is used to evolve weighted personal contact networks that represent physical contact between individuals, and thus possible paths of infection during an epidemic. The evolutionary algorithm evolves a list of edge-editing …
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An investigation into the phase stability of manganese oxide using quantum Monte Carlo and insights into materials prediction in the barium-ruthenium-sulfur phase space
… barium-ruthenium-sulfur phase space using the evolutionary algorithm USPEX is presented. We identify find challenges to discovering new materials using an evolutionary algorithm as well as a potential new candidate structure, BaRu2S2 with space group 139.
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A Hybrid Optimization Framework with POD-based Order Reduction and Design-Space Evolution Scheme
… order reduction scheme combined with the evolutionary algorithm technique. The POD method of extracting dominant modes from an ensemble of candidate configurations is used for the design-space order reduction. The snapshot of candidate population is updated iteratively using evolutionary …
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Robust controller design for active trailer steering systems of articulated vehicles using multi-objective optimization
… vehicles. By applying a multi-objective evolutionary algorithm (MOEA) to the design optimization of the robust ATS controller, a series of optimal gain values can be obtained in a single run. This allows for posteriori decision making along with flexibility to select appropriate gain for …
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Shear wall layout optimization for conceptual design of tall buildings
… ground structure program formulation, a modified evolutionary algorithm, and innovative computational techniques. Unlike existing work that focuses either exclusively on structural performance or architectural layout, this research integrates both. An efficient computational design methodology for …
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