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作者： Ibrahim, Amin University of Ontario Institute of Technology (Canada)

学位级别：Ph.D.

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 these sophisticated problems. In the optimization field, multi-objective problems with four or more objectives are called many-objective problems. Although there are a number of highly successful multi-objective algorithms capable of solving complex two- or three-objective problems, the majority of these algorithms experience significant performance deterioration due-to an increase in the number of solutions required for approximating the entire Pareto-front and the loss of selection pressure required to move non-dominated candidate solutions towards the optimal Paretofront. Moreover, as the number of objectives increases, visualization of the solution set becomes progressively challenging as well as the applicability of quantitative performance metrics capable of measuring the convergence and diversity of solution become computationally too expensive or unreliable. This thesis explores the challenges associated with solving many-objective optimization problems and proposes novel algorithms, performance measures, and visualization techniques to mitigate these challenges. Firstly, three multi- and manyobjective visualization techniques are proposed. These visualization techniques are capable of showing the convergence and distribution of solutions on the Pareto-optimal front, the distribution of solutions along each objective, and relationship among decision variables and objective function values. Secondly, two novel performance measures capable of assessing the distribution and spread of solutions along each objective are proposed. Thirdly, a new reference-based hybrid optimization framework is proposed to allow multiple optimization algorithms to work together to take ad

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Development of View optimization techniques for Structural Monitoring Systems Using Post-Processing of Structural Analysis and Image Processing

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IEEE ACCESS 2025年 13卷 3546-3561页

作者： Park, Yonghui Sun Moon Univ Dept Mech Engn Asan 31460 Chungcheongnam South Korea

This study aimed to enhance the efficiency of monitoring systems for structures undergoing continuous deformation by integrating structural analysis and image processing techniques. It addresses the challenge of optimizing real-time structural monitoring for precise deformation visualization, critical for engineering applications. The proposed framework for view optimization utilized the results from structural analysis performed in ABAQUS to extract initial camera positions and direction vectors, which served as inputs for an optimization algorithm. The optimization process applied image processing methods to detect deformation areas, while performance was evaluated at each iteration and saved when improvements were found. Camera parameters were iteratively updated using gradient descent and adjusted learning rates to ensure effective visualization of deformation. Experimental results confirm that this approach not only visualizes structural analysis outcomes effectively but also optimizes camera views for tailored monitoring systems. This integrated approach significantly enhances real-time monitoring, making it suitable for infrastructure health monitoring, civil engineering, and mechanical systems analysis. Overall, this work demonstrates the feasibility of combining structural analysis with imaging techniques for more accurate and efficient monitoring solutions.

关键词： Deformation Cameras Monitoring optimization Analytical models Accuracy Computational modeling Real-time systems Data models Vectors Structural analysis image processing structural monitoring system view optimization ABAQUS gradient descent

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Development of visualization techniques as an aid in multidisciplinary design optimization

Development of visualization techniques as an aid in multidi...

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作者： Winer, Eliot H. State University of New York at Buffalo

学位级别：Ph.D.

The design process for complex systems must be substantially improved in order to create more efficient and reliable products in less time and reduced cost. However, increasing efficiency and reliability while decreasing time and cost is a difficult task to accomplish. To create a better design, more detail about the problem must be taken into account thereby yielding an invariably longer design process. Research has focused on new solution methods, development of software infrastructures, and even creation of new hardware to specifically handle large amounts of data. However, these approaches tend to be largely autonomous, with little potential for human involvement. The thinking has been that the larger the amount of data, the less involved the designer can be and the more involved the computer must be. Hence, new ways to extract meaning out of these larger amounts of data are required to involve and fully engage the designer in all aspects of a design process. In this dissertation, the concept of Computational Steering is applied to optimal design and Multidisciplinary Design optimization (MDO) to improve efficiency and reliability of solutions. Computational Steering calls for real-time visual interaction with the data of a problem. In this dissertation, a modified paradigm termed Visual Design Steering (VDS) is proposed and implemented. VDS allows a designer to make choices before, during, or after an analysis via a visual environment. He can then institute these changes immediately, thus steering the analysis and optimization to a better solution in less time. This proposed paradigm contains two key components. First, the visualization method to represent the data, and second, the way these representations are used to improve an optimal or MDO design process. The visual methods developed and described in this dissertation allow a designer to gain insight into the complex relationships that exist between design variables and the objectives and constraints of a

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Computer software program for representation and visualization of free-form curves through bio-inspired optimization techniques

Computer software program for representation and visualizati...

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4th International Congress on Mathematical Software, ICMS 2014

作者： Iglesias, Andrés Gálvez, Akemi Department of Information Science Toho University Narashino Campus 2-2-1 Miyama 274-8510 Funabashi Japan Dpt. of Applied Mathematics and Comp. Sci. Universidad de Cantabria E.T.S.I. Caminos Canales Y Puertos Avda. de los Castros s/n E-39005 Santander Spain

ISBN: (纸本)9783662441985

Free-form parametric curves are becoming increasingly popular in many theoretical and applied domains because of their ability to model a wide variety of complex shapes. In real-world applications those shapes are usually given in terms of data points, for which a fitting curve is to be obtained. Unfortunately, this is a very difficult task for classical optimization techniques. Recently, it has been shown that bio-inspired optimization techniques can be successfully applied to overcome this limitation. This paper introduces a new interactive, user-friendly computer software program for the representation and visualization of free-form parametric curves from sets of data points. Given a cloud of data points as initial input, the user is prompted to a graphical interface where he/she can choose the bio-inspired technique of his/her preference, set up the control parameters interactively, and obtain the mathematical representation and graphical visualization of the underlying shape. The paper discusses the main features of this software. An illustrative example of its application is also briefly reported. © 2014 Springer-Verlag.

关键词： Data visualization

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VisPath: Automated visualization Code Synthesis via Multi-Path Reasoning and Feedback-Driven optimization

arXiv

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arXiv 2025年

作者： Seo, Wonduk Lee, Seungyong Kang, Daye Yuan, Zonghao Lee, Seunghyun Enhans.ai Korea Republic of KAIST Korea Republic of Tsinghua University China

Unprecedented breakthroughs in Large Language Models (LLMs) has amplified its penetration into application of automated visualization code generation. Few-shot prompting and query expansion techniques have notably enhanced data visualization performance, however, still fail to overcome ambiguity and complexity of natural language queries - imposing an inherent burden for manual human intervention. To mitigate such limitations, we propose a holistic framework VisPath: A Multi-Path Reasoning and Feedback-Driven optimization Framework for visualization Code Generation, which systematically enhances code quality through structured reasoning and refinement. VisPath is a multi-stage framework, specially designed to handle underspecified queries. To generate a robust final visualization code, it first utilizes initial query to generate diverse reformulated queries via Chain-of-Thought (CoT) prompting, each representing a distinct reasoning path. Refined queries are used to produce candidate visualization scripts, consequently executed to generate multiple images. Comprehensively assessing correctness and quality of outputs, VisPath generates feedback for each image, which are then fed to aggregation module to generate optimal result. Extensive experiments on benchmarks including MatPlotBench and the Qwen-Agent Code Interpreter Benchmark show that VisPath significantly outperforms state-of-the-art (SOTA) methods, increased up to average 17%, offering a more reliable solution for AI-driven visualization code generation. © 2025, CC BY-NC-SA.

关键词： Structured Query Language

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optimization OF FLUORESCENT FLOW visualization techniques.

OPTIMIZATION OF FLUORESCENT FLOW VISUALIZATION TECHNIQUES.

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Instrumentation in the Aerospace Industry, Volume 30;Advances in Test Measurement, Volume 21: Proceedings of the 30th International Instrumentation Symposium.

作者： Bratcher, James D.

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Towards Scaling-Invariant Projections for Data visualization

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COMPUTER GRAPHICS FORUM 2025年

作者： Dierkes, Joel Stelter, Daniel Roessl, Christian Theisel, Holger Univ Magdeburg Visual Comp Grp Magdeburg Germany

Finding projections of multidimensional data domains to the 2D screen space is a well-known problem. Multidimensional data often comes with the property that the dimensions are measured in different physical units, which renders the ratio between dimensions, i.e., their scale, arbitrary. The result of common projections, like PCA, t-SNE, or MDS, depends on this ratio, i.e., these projections are variant to scaling. This results in an undesired subjective view of the data, and thus, their projection. Simple solutions like normalization of each dimension are widely used, but do not always give high-quality results. We propose to visually analyze the space of all scalings and to find optimal scalings w.r.t. the quality of the visualization. For this, we evaluate different quality criteria on scatter plots. Given a quality criterion, our approach finds scalings that yield good visualizations with little to no user input using numerical optimization. Simultaneously, our method results in a scaling invariant projection, proposing an objective view to the projected data. We show for several examples that such an optimal scaling can significantly improve the visualization quality.

关键词： center dot Human-centered computing -> visualization techniques visualization systems and tools

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techniques for visualization and interaction in software architecture optimization

Techniques for visualization and interaction in software arc...

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作者： Frank, Sebastian University of Stuttgart

Software architecture optimization aims at improving the architecture of software systems with regard to a set of quality attributes, e.g., performance, reliability, and modifiability. However, particular tasks in the optimization process are hard to automate. For this reason, architects have to participate in the optimization process, e.g., by making trade-offs and selecting acceptable architectural proposals. The existing software architecture optimization approaches only offer limited support in assisting architects in the necessary tasks by visualizing the architectural proposals. In the best case, these approaches provide very basic visualizations, but often results are only delivered in textual form, which does not allow for an efficient assessment by humans. Hence, this work investigates strategies and techniques to assist architects in specific use cases of software architecture optimization through visualization and interaction. Based on this, an approach to assist architects in these use cases is proposed. A prototype of the proposed approach has been implemented. Domain experts solved tasks based on two case studies. The results show that the approach can assist architects in some of the typical use cases of the domain. Conducted time measurements indicate that several hundred architectural proposals can be handled. Therefore, the approach usefully complements existing software architecture optimization approaches. Furthermore, it is a foundation for the participation of humans in the optimization process and further research in this field.

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visualization techniques for assessing inhomogeneities and stress in Ti:sapphire crystals

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OPTICAL MATERIALS EXPRESS 2025年第4期15卷 644-660页

作者： Miller, Vojtech Zidek, Karel Tech Univ Liberec Studentska 1402-2 461 17 Liberec 1 Liberec Czech Republic CRYTUR spol ros Na Lukach 2283 Turnov 51101 Czech Republic Czech Acad Sci Inst Plasma Phys U Slovanky 2525-1a Prague 18200 Czech Republic

This study presents a comprehensive optical analysis of titanium-doped sapphire (Ti:Sa) crystals, introducing two innovative measurement techniques to enhance the characterization of this material. The first method enables highly precise transmission measurements, facilitating the visualization of optical doping patterns across samples and providing accurate figure of merit (FoM) evaluations. This technique covers an area of 25 x 100 mm, enabling the creation of detailed optical property maps. The second method is specifically designed to identify stress and refractive index inhomogeneities using circular polarization, leveraging the birefringent properties of Ti:Sa material. Experimental validation was performed on three Ti:Sa samples with distinct defects, and their optical and structural properties were analyzed and compared. A central optical pattern, previously unreported, was observed in all samples. This pattern is hypothesized to originate from core formation during crystal growth. These findings provide new insights into the material's internal structure and hold significant implications for its optimization in optical applications. (c) 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

关键词： Circular polarization Material properties Optical properties Polarimetric imaging Ti:sapphire lasers Transmission measurement

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AI-driven optimization of indoor environmental quality and energy consumption in smart buildings: a bio-inspired algorithmic approach

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JOURNAL OF ASIAN ARCHITECTURE AND BUILDING ENGINEERING 2025年

作者： Ghoneim, Rehab Salaheldin Arabasy, Mazin Abdulhadi, Ashraf Nadheer Al Ahliyya Amman Univ Fac Architecture & Design Dept Interior Design Amman 19111 Jordan Gulf Univ Coll Engn Dept Architecture & Interior Design Sakhir Bahrain

This work presents an in-depth analysis of five bio-inspired optimization algorithms, namely Puma Optimizer (PO), Walrus Optimizer (WO), Flying Fox optimization Algorithm (FFO), Waterwheel Plant Algorithm (WWPA), and Energy Valley Optimizer (EVO), which optimize the energy consumption while keeping the occupants' comfort intact within smart building environments. It emulates operational challenges such algorithms might face in the real world for testing, such as dynamic energy demand, fluctuating occupancy, and time-varying weather, to meet the perfect balance between energy efficiency and indoor environmental quality. Key findings indicate that the algorithms achieve significant energy savings and maintain stable temperature and humidity levels across different zones. The comparison provides insight into each algorithm's strengths in various scenarios and, potentially, in real-time smart building management systems applications. Further, integrations of multidimensional visualization techniques enhance the trade-off interpretations between energy consumption and occupants' comfort. Thus, it is a valuable reference for sustainable building design.

关键词： Bio-inspired algorithms smart buildings energy optimization occupant comfort machine learning

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