Task-based visual analytics for interactive multiobjective optimization
نویسندگان
چکیده
منابع مشابه
INtERACtIvE MuLtIOBJECtIvE OPtIMIzAtION FOR IMRt
In this paper, interactive multiobjective optimization for radiotherapy treatment planning is studied. The aim of radiotherapy is to destroy a tumor without causing damage to healthy tissue and treatment planning is used to achieve an optimal dose distribution. In intensity modulated radiotherapy (IMRT), the intensity of the incoming radiation flux can be modulated using some aperture such as a...
متن کاملInteractive Visual Salesforce Analytics
We develop an integrated salesforce analytics application that combines enterprise data from human resources, compensation, and customer relationship management systems, produces predictive data-driven analytics insights to effectively manage organizations with many salespeople, and has an interactive visual interface that allows business users to explore the data and analytics at their own pac...
متن کاملInteractive multiobjective optimization for anatomy-based three-dimensional HDR brachytherapy.
In this paper, we present an anatomy-based three-dimensional dose optimization approach for HDR brachytherapy using interactive multiobjective optimization (IMOO). In brachytherapy, the goals are to irradiate a tumor without causing damage to healthy tissue. These goals are often conflicting, i.e. when one target is optimized the other will suffer, and the solution is a compromise between them....
متن کاملiPCA: An Interactive System for PCA-based Visual Analytics
Principle Component Analysis (PCA) is a widely used mathematical technique in many fields for factor and trend analysis, dimension reduction, etc. However, it is often considered to be a “black box” operation whose results are difficult to interpret and sometimes counter-intuitive to the user. In order to assist the user in better understanding and utilizing PCA, we have developed a system that...
متن کاملIBVis: Interactive Visual Analytics for Information Bottleneck Based Trajectory Clustering
Analyzing trajectory data plays an important role in practical applications, and clustering is one of the most widely used techniques for this task. The clustering approach based on information bottleneck (IB) principle has shown its effectiveness for trajectory data, in which a predefined number of the clusters and an explicit distance measure between trajectories are not required. However, pr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Operational Research Society
سال: 2020
ISSN: 0160-5682,1476-9360
DOI: 10.1080/01605682.2020.1768809