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 20 of 127 for “"Pareto optimal"”.
-
Automating Pareto-Optimal Experiment Design via Efficient Bayesian Optimization
… automate the process of discovering the set of optimal solutions, called Pareto-optimal, while minimizing the number of performed evaluations. To further reduce the evaluation time in the optimization process, testing of several samples in parallel can be deployed. We propose DGEMO, a novel …
-
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 …
-
Learning-Based Pareto Optimal Control of Large-Scale Systems with Unknown Slow Dynamics
We develop a data-driven approach to Pareto optimal control of large-scale systems, where decision makers know only their local dynamics. Using reinforcement learning, we design a control strategy that optimally balances multiple objectives. The proposed method achieves near-optimal performance and …
-
Diversity shrinkage of pareto-optimal solutions in hiring practice: Simulation, shrinkage formula, and a regularization technique
… is De Corte, Lievens, and Sackett’s (2007) Pareto-optimal weighting strategy. De Corte et al.’s strategy has been demonstrated on: (a) a composite of cognitive and noncognitive (e.g., personality) tests (De Corte, Lievens, & Sackett, 2008), and (b) a composite of specific cognitive ability …
-
Dynamically reconfigurable management of energy, performance, and accuracy applied to digital signal, image, and video Processing Applications
… basic idea is to first generate a collection of Pareto-optimal realizations in the EPA/PPA space. Dynamic EPA/PPA management is then achieved by selecting the Pareto-optimal implementations that can meet the real-time constraints. The systems are then demonstrated using Dynamic Partial …
-
A hierarchical bottom-up, equation-based optimization design methodology
… as mathematical programs (MP) and extracted Pareto-optimal (PO) [1-3] tradeoff surfaces. Abstracting these PO surfaces in place of the blocks at the system level, we have demonstrated a new hierarchical system design methodology. Furthermore, the optimization, simulation, and measured results …
-
Multiobjective Simulation Optimization Using Enhanced Evolutionary Algorithm Approaches
… seek alternative techniques that yield a set of Pareto optimal solutions rather than only a single solution. The problem becomes much more complicated in stochastic environments when the objectives take on uncertain (or "noisy") values due to random influences within the system being optimized, …
-
Knowledge acquisition for effective and efficient use of engineering software
… of engineering software can be thought of as a Pareto optimal problem. However, the complexity of modern engineering software precludes the possibility of acquiring complete knowledge of the software's Pareto optimal set. Instead, heuristic knowledge must be acquired. The thesis proposes that …
-
Multidisciplinary system design optimization of fiber-optic networks within data centers
… case studies to simultaneously evaluate the Pareto optimal trade-offs of (a) minimizing life-cycle costs, (b) maximizing user capacity, and (c) maximizing optical transmission quality (Q-factor). The results demonstrate that data center life-cycle costs are most sensitive to power costs, 10G …
-
Constraint propagation and variable ordering heuristics for solving Constrained Partial CP-nets
Representing, reasoning and finding Pareto optimal solutions from users' qualitative conditional preferences is one of the interesting research topics in Artificial Intelligence(AI). A conditional Preference Network (CP-net) is one of the extensively used graph models to represent these conditional …
-
Multicriteria Optimization in Inverse Radiotherapy Planning
… It is based on the fact that there is no single optimal plan, but many so-called Pareto optimal plans, which cannot be improved in one criterion without worsening another. A database with all Pareto optimal plans is generated and the decision which compromise is clinically the best is left to the …
-
Pareto Optimization in Robotics With Acceleration Constraints
Earlier work demonstrated a finite number of Pareto-optimal classes of motion plans when the robots are subjected to velocity bounds but no acceleration bounds. We prove that, when velocity and acceleration are bounded, the finiteness result still holds for systems involving only two robots. In …
-
The emergence and growth of financial intermediaries in an economy with nonzero transaction costs and asymmetric information
… contractual arrangements can lead to symmetric Pareto optimal allocations in an economy with asymmetric private information.
-
Decomposition Evolutionary Algorithms for Noisy Multiobjective Optimization
… solution is required. This set is known as Pareto optimal. Multi-objective optimization problems arise in many real world applications where several competing objectives must be evaluated and optimal solutions found for them, in the presence of trade offs among conflicting objectives. …
-
Efficient algorithms for bipartite matching problems with preferences
… algorithms for finding various types of optimal matchings in the context of these problems. Our optimality criteria involve a diverse range of concepts that are alternatives to classical stability. Examples include so-called popular and Pareto optimal matchings, and also matchings that …
-
Advances and applications in high-dimensional heuristic optimization
… problems are characterized by a set of Pareto optimal solutions wherein no solution unanimously optimizes all objectives. Evolutionary algorithms have emerged as a standard approach to determine a set of these Pareto optimal solutions, from which a decision-maker can select a vetted …
-
A polyhedral-based systemc modeling and generation framework for effective low-power design space exploration
… of inferior design points very fast and generate Pareto-optimal solution points. Experimental results show that (1) our SystemC models can evaluate system performance and power that is only 0.57% and 5.04% away from gate-level evaluation results, respectively; (2) our latency and power analytical …
-
Two Combinatorial Optimization Problems at the Interface of Computer Science and Operations Research
To address the post-optimality selection problem, this dissertation also proposes a new discrete optimization problem to help the decision-maker to obtain an optimal preferred subset of Pareto optimal solutions. This discrete optimization problem is proven to be NP-hard. To solve this problem, …
-
A pragmatic approach to multi-objective optimisation for portfolio asset management
… objective (a priori) or populate the entire Pareto optimal set (a posteriori). Nonetheless, neither of these methods adequately address the problem. While the a priori method relies heavily on subjective judgment of a decision maker (DM) to accommodate incommensurable objectives, the a …
-
Quantifying technology infusion and policy impact on low earth orbit communication satellite constellations
… are system performance, capacity, and cost. The Pareto optimal solution set of the baseline trade space is generated by the model using a full-factorial run that covers the entire design space. To simulate technology infusion, technical and cost attributes of four new technologies are quantified …
Page 1 of 7