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 16 of 16 for “"multi-criteria optimization"”.
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Multi-criteria decision making using reinforcement learning and its application to food, energy, and water systems (FEWS) problem
Multi-criteria decision making (MCDM) methods have evolved over the past several decades. In today’s world with rapidly growing industries, MCDM has proven to be significant in many application areas. In this study, a decision-making model is devised using reinforcement learning to carry out …
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Trade-off analysis with cost consideration for quality function deployment
… so that it better fits DFSS objectives. A new multi-criteria optimization model is thus developed, capable of addressing both the customer satisfaction and cost targets through a trade-off analysis. The formulation gives a set of Pareto-optimal solutions, i.e. listing down all a??equally …
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Construction of a model for the improved planning of MCO-informed VMAT in RayStation using a knowledge base of clinical IMRT-MCO treatment plans
… better sparing nearby organs at risk (OARs). Multi-criteria Optimization (MCO) is an algorithm that is used to optimize a patient's personalized IMRT treatment plan. VMAT treatment plans cannot be optimized using early versions of the MCO algorithm. The purpose of this study was to construct a …
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Multi-criteria analysis in naval ship design
Numerous optimization problems involve systems with multiple and often contradictory criteria. Such contradictory criteria have been an issue for marine/naval engineering design studies for many years. This problem becomes more important when one considers novel ship types with very limited or no …
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Multicriteria Approximation of Network Design and Network Upgrade Problems
… All problems are examined within a framework of multi-criteria optimization. Many of the problems can be shown to be NP-hard, with the consequence that, under the widely accepted assumption that P is not equal to NP, there cannot exist efficient algorithms for solving the problems. This motivates …
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A Macro-Level Sustainability Assessment Framework for Optimal Distribution of Alternative Passenger Vehicles
… by presenting a novel combined application of Multi Criteria Decision Making techniques with Life Cycle Sustainability Assessment for decision analysis. With this motivation in mind, this research will construct a compromise-programming model (multi-objective optimization method) in order to …
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Looking at the Map, Together: Modeling Treatment Center Location Selection and its Effects on Access to Gene Therapy in Brazil
… have prior experience handling them. Using multi-criteria optimization modeling paired with local input, this thesis explores different approaches to the gene therapy treatment center location selection decision and how these approaches would affect patients’ geographic accessibility to …
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Schemas of Clustering
… datasets according to database schemas using a multi-criteria optimization and (4) clustering datasets with many-many relationships between data samples. For each of the above, we demonstrate applications, including modeling the yeast cell cycle and the yeast metabolic cycle, understanding the …
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Asteroid hazard mitigation: deflection models and mission analysis
… types of hazardous celestial objects. A multi-criteria 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 …
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Toward enhancement of evolutionary multi- and many-objective optimization: algorithms, performance metrics, and visualization techniques
In the last three decades, the focus of multi-criteria optimization has been solving problems containing two or three objectives. However, real-world problems generally involve multiple stakeholders and functionalities requiring relatively large number of objectives and decision variables to model …
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Hybrid Multi-Objective Optimization Models for Managing Pavement Assets
… of highway system make the use of multi-objective optimization techniques particularly attractive for managing highway assets. Recognizing the need for effective tradeoff tools and the limitations of state-of-practice analytical models and tools in highway asset management, the main …
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Risk-based Renewal Prioritization Models (RPM) for Potable Water Pipeline Infrastructure Systems
… including weak integration of risk with decision criteria, ad hoc selection of modeling algorithms without strategic foresight, and limited, often internal-only, real-world validation. This dissertation addresses these gaps by developing and testing an AI-enabled framework for risk-based renewal …
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Multi-criteria Mapping and Scheduling of Workflow Applications onto Heterogeneous Platforms
… treated in steady-state mode. Several antagonist criteria should be optimized, such as throughput and latency (or a combination) as well as latency and reliability (i.e., the probability that the computation will be successful) of the application. While simple polynomial algorithms can be found …
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A Decision Support System for the Electrical Power Districting Problem
Due to a variety of political, economic, and technological factors, many national electricity industries around the globe are transforming from non-competitive monopolies with centralized systems to decentralized operations with competitive business units. This process, commonly referred to as …
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Distributed Scheduling and Delay-Throughput Optimization in Wireless Networks under the Physical Interference Model
… and non-linear.<br />The system performance optimization and tradeoffs with respect to throughput and delay require a ``global\'\' view across<br />transport, network, media access control (MAC), physical layers (referred to as cross-layer optimization)<br />to take advantage of the control …