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 36 for “"Pareto-optimality"”.
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Pareto optimality based zonal allocation of distributed energy resources considering technical and economic constraints
… distribution network. This paper introduces a Pareto Optimality Based Grey Wolf Optimization (GWO) approach for the strategic placement of DERs across various zones of a distribution network. We formulate a multi-objective optimization problem within the fuzzy domain, aiming to minimize DER …
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Quantitative dynamic modeling of transcriptional networks of embryonic stem cells using integrated framework of Pareto optimality and energy balance
… complex ESC network approach as well as an optimality approach which can take cellular objectives into account simultaneously. The primary goal of this thesis was to develop an integrated energy and mass balance-based multi objective framework for a transcriptional regulatory network model …
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Multi-criteria decision making using reinforcement learning and its application to food, energy, and water systems (FEWS) problem
… and multiple environments (criteria) using pareto optimality. The application of this model is also discussed, where the model provides an optimal solution to the food, energy, and water systems (FEWS) problem.
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A public durable good/bad theory in an overlapping generations economy
… indefinitely with deterioration/amelioration. Pareto optimality, the Lindahl equilibrium, and the theory of voluntary provision for this overlapping generations model are contrasted with those of the atemporal model.
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Contributions to evaluation of machine learning models. Applicability domain of classification models
… thirdly, selecting an optimal model using Pareto optimality. The experiments in this work are illustrated by considering different machine learning algorithms for binary and multi-class classifications for healthcare datasets from public benchmark data repositories. In the first approach, …
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Multivariate Steepest Ascent Using Bayesian Reliability
… overlap of confidence cones and Mee and Xiao’s Pareto Optimality, have not considered the correlations of the responses or parameter uncertainty. We propose a new method using the Bayesian reliability to calculate this direction. We utilize this method with four examples: a 2 factor, 2-response …
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Optical distribution networks : signal-to-noise ratio optimization and distributed erbium-doped fiber amplifiers
… chain, using the concepts of a Nash solution and Pareto optimality. The propagation of optical channels along an erbium-doped fiber is derived from basic physical considerations, and compared with the well-known Desurvire model. We demonstrate a simple method of constructing bus distribution …
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Efficient Continuous Pareto Exploration in Multi-Task Learning
… exists. Recent papers introduced the concept of Pareto optimality to this field and directly cast multi-task learning as multiobjective optimization problems, but solutions returned by existing methods are typically finite, sparse, and discrete. We present a novel, efficient method that generates …
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Fair allocation of operations and makespan minimization for multiple robotic agents
… is presented to achieve partial-DEQ1 along with Pareto Optimality. Following this, it is shown that the algorithm also guarantees an upper bound of 1.618 on the makespan for 2 non-identical agents. Parametric pruning further improves the upper bound to 1.5, which is theoretically the best …
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System architecture analysis and selection under uncertainty
… 1. The introduction of the concept of Fuzzy Pareto Optimality. Under uncertainty, one must necessarily consider more than just Pareto Optimal solutions to avoid the unintentional exclusion of viable and possibly even desirable designs. 2. The introduction of a proximity based filtering …
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Contributions to evaluation of machine learning models. Applicability domain of classification models
… thirdly, selecting an optimal model using Pareto optimality. The experiments in this work are illustrated by considering different machine learning algorithms for binary and multi-class classifications for healthcare datasets from public benchmark data repositories. In the first approach, …
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Biological Circuit Design via BioCAD Tools
… circuits. In BioCAD, the main idea is to use Pareto optimality and the Electronic Design Automation methods for Systems and Synthetic Biology. However, BioCAD is a general purpose tool and can be seen as well as a black box able to receive in input a generic model and analyze its components …
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Predictive and Prescriptive Analytics for Airport Slot Allocation
… Airport to create slot assignments that achieve Pareto optimality in acceptable computation times. The results indicate that schedule-coordinated airports can reduce passenger costs from slot allocation, with relatively small adjustments to schedule displacement. Ultimately, the proposed …
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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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Low-carbon reliable transmission expansion planning with large-scale renewable energy integration.
… models are proposed for aging CFPP. The Pareto optimality of aging CFPP retirement and replacement among three conflicting objectives including carbon emissions, total expenditure, and the operation risks are solved. Moreover, the effect of carbon policies including the carbon tax and …
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Asteroid hazard mitigation: deflection models and mission analysis
… optimization is then used to construct a set of Pareto-optimal asteroid deflection missions. The Pareto-optimality is here achieved not only by maximizing the deflection of the threatening object, but also by minimizing the total mass of the deflection mission at launch and the warning time …
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Three essays in collective choice theory
… like the selected alternative. Two classes of Pareto optimal choice rules -- called generalized maximin" and "choosing-by-veto" rules -- are shown to satisfy this principle. If we strengthen Pareto Optimality along the lines of Suppes' grading principle, the only choice rules satisfying our …
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A Metamodel based Multiple Criteria Optimization via Simulation Method for Polymer Processing
… The method is able to approximate a set of Pareto solutions without having to evaluate a large number of simulations. In order to accomplish this, design of experiments, metamodeling, Data Envelopment Analysis, and Pareto optimality are combined. After first testing the method with …
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Exploring Payoffs and Beliefs in Game Theory
… of star networks. Efficiency and Pareto-optimality issues are discussed through examples. We also explore the consequences of three alternative specifications which address criticisms of such communication networks. Chapter 4 examines noncooperative fuzzy games. Both in fuzzy …
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New Methods to Improve Protein Structure Modeling
… to obtain a complete set of alignments yielding Pareto optimality. Then, we use protein sequence and structural information as objectives and generate the complete Pareto optimal front of alignments between target sequence and template. The alignments obtained enable one to analyze the trade-offs …
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