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 72 for “"Pareto front"”.
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Multivariable controller design using pareto front
… with a posteriori decision-making based on Pareto efficiency, level diagrams, hyper volumes and other performance indices is used to compare quantitatively the two controller structures when applied to a highly interactive multivariable system based on this plant.
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Interactive exploration of design space
… that are optimal for different tradeoffs (called Pareto-optimal). In this thesis, I present a novel approach to discovering the Pareto front, allowing designers to navigate the landscape of compromises efficiently. The approach is based on a first-order approximation of the Pareto front, which …
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Efficiency-risk tradeoffs in dynamic oligopoly markets : with application to electricity markets
… further provide a convex characterization of the Pareto front of different system performance measures. The Pareto front determines the tradeoff among volatility suppression of concerned measurements in the system with load scheduling dynamics. This is the fundamental tradeoff in the sense that …
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Exact And Representative Algorithms For Multi Objective Optimization
… representative set of solutions from the actual Pareto front. First algorithm we present is for efficiently generating a well dispersed non-dominated solution set representative of the Pareto front which can be used for general multi objective optimization problem. The algorithm first partitions …
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Pareto Gamuts : exploring optimal designs across varying contexts
… The best achievable trade-offs reside on the Pareto front, which can be discovered via performance-driven optimization. Objective functions used to define the Pareto front often incorporate assumptions about the context in which a part will be used, including loading conditions, environmental …
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Mathematical Software for Multiobjective Optimization Problems
… problem, where the tradeoff surface (called the Pareto front) between multiple conflicting objectives must be approximated in order to identify designs that balance real-world tradeoffs. In order to solve multiobjective optimization problems that are derived from computationally expensive …
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Efficient Design Of Biological Experiments For Dose-Response Modeling In Nanomaterial Toxicology Studies
… select best set of non-dominated experiments on Pareto front. The proposed approach has been shown to provide better design than traditional experiment method in terms of D-optimum design and A-optimum design.
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RESOURCE CONSTRAINT COOPERATIVE GAME WITH MONTE CARLO TREE SEARCH
… problem to show that it was able to form Pareto front dominance solutions, finding feasible solutions that were optimal and finding feasible partial solutions in over-constrained problems. The performance comparison was carried out with the Genetic Algorithm on the Resident Physician …
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Multi-objective design optimization of reverse total shoulder arthroplasty to maximize range of motion and joint stability
… design optimization to generate a Pareto front. Pareto optimal points represent those where neither performance metric can be further improved without detriment to the other.</p> <p>Multi-objective optimization requires 1) metrics to characterize the objectives to be optimized and …
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Multi-Objective Generation of Pareto-Optimal Perception Architectures for Autonomous Robotic Systems
… demonstrate the framework’s ability to generate Pareto-optimal sensor architectures under vastly different ROI definitions and operating conditions. In the Jackal study, GO4R converges to a population of 11 novel Pareto-optimal designs, and revealing sensitivity to voxel size and importance …
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Multi-objective evolutionary algorithms for data clustering
… produce more desirable clustering solutions and Pareto fronts. We also �find that mutation operators that greatly disrupt the clustering solutions lead to better exploration of the Pareto front whereas mutation operators that modify the clustering solutions in a more moderate way lead to higher …
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Synergetic Attenuation of Stray Magnetic Field in Inductive Power Transfer
… efficiency. The optimization is realized with Pareto front. In this dissertation, three methods are discussed for the field attenuation. The first method is to tune the physical parameters of the winding, such as the inner radii, outer radii, distribution of the turns, and types of the litz …
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A targeted reverse mapping machine learning approach for non-dominated solutions in multi-objective optimization
… decisionmakers’ region of interest (ROI) on the Pareto front. Recent advancements in machine learning have shown promise in generating solutions, yet they suffer from a lack of control and require knowledge of objective function attributes. This study proposes a framework using Gaussian process …
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Novel optimizers for multi-objective deep learning
… providing a set of weight configurations with Pareto front solutions in multi-objective optimization offers flexibility and a desirable trade-off options to the end user in many machine learning tasks. With that goal in mind, this thesis centers around developing novel multi-objective …
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Toward enhancement of evolutionary multi- and many-objective optimization: algorithms, performance metrics, and visualization techniques
… solutions required for approximating the entire Pareto-front and the loss of selection pressure required to move non-dominated candidate solutions towards the optimal Pareto-front. Moreover, as the number of objectives increases, visualization of the solution set becomes progressively challenging …
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Design Demonstration and Optimization of a Morphing Aircraft Control Surface Using Flexible Matrix Composite Actuators
… and the physical limitations of the system. A Pareto front was developed for these two objectives and the resulting designs along the Pareto front explored. From this optimization, a series of design guidelines were developed.
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Advances in aircraft design: multiobjective optimization and a markup language
… The first part of the thesis proposes a new Pareto front approximation method for multiobjective optimization problems. The method employs a hybrid optimization approach using two derivative free direct search techniques, and is intended for solving blackbox simulation based multiobjective …
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Evolutionary algorithm for multiobjective optimization: Cooperative coevolution and new features
… and distribute non-dominated solutions along the Pareto front, an adaptive mutation operator and an enhanced exploration strategy are proposed. The adaptive mutation operator adapts the mutation rate to maintain a balance between the introduction of diversity and local fine-tuning. The enhanced …
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Percolation in Two-Dimensional Grain Boundary Structures and Polycrystal Property Closures
… based upon two algorithms developed to find the Pareto front in multi-objective problems — the weighted sum, and the normal boundary intersection methods. The resultant procedure uses quadratic programming (QP) to find as many points on the closure as possible, changing to the less efficient …
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Biomass Characterization and Insulation Optimization Studies
… optimization is achieved by building a Pareto front and determining the points of best compromise between the two objectives.</p>
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