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 6 of 6 for “"Evolutionary Algorithms (EA)"”.
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Mendelian and Non-Mendelian Ancestral Repair for Constrained Evolutionary Optimisation
Evolutionary Algorithms (EA) are excellent at solving many types of problems but are inherently ill-suited to solving constrained problems. Previously there has been four ways to adapt these algorithms to solve constrained problems - pareto optimal strategies, modified representation and operators, …
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Neuro-evolution behavior transfer for collective behavior tasks
… techniques such as reinforcement learning (RL) and evolutionary algorithms (EA) are often used to adapt controllers for solving such tasks, the complexity of such tasks increases with the addition of more agents (or robots) in difficult environments. This is due to specific issues …
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Automated Process Planning for Five-Axis Point Milling of Sculptured Surfaces
In this thesis, research efforts for building an automated process planning system for 5-axis point milling of sculpture surfaces (finish cut) are presented. Based on existing research, workflow for process planning was carefully planned out, with optimization and improvements in the following …
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Interplanetary Trajectory Optimization with Automated Fly-By Sequences
… such as component organization, control algorithms, and trajectories, can be optimized using a variety of algorithms or solvers. Each solver has intrinsic strengths and weaknesses when applied to a given optimization problem. One way to mitigate limitations is to combine different solvers …
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A Hybrid multi-agent architecture and heuristics generation for solving meeting scheduling problem
… complex and heterogeneous. Current research on multi-agent systems (MAS) has become mature enough to be applied as a technology for solving problems in an increasingly wide range of complex applications. The main formal architectures used to describe the relationships between agents in …
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Shape optimization of cambered airfoils using a genetic algorithm and a multipoint inverse method
… used to evaluate the aerodynamic performance of each airfoil. Data processing techniques and a custom penalty function were developed in order to overcome challenges in integrating these tools. The viability of this approach was assessed in three airfoil optimization studies. First, the optimizer …