Thanks to recent advances in computing power and speed, engineers can now generate a wealth of data on demand to support design decision-making. These advances have enabled new approaches to search multidimensional tr...
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Thanks to recent advances in computing power and speed, engineers can now generate a wealth of data on demand to support design decision-making. These advances have enabled new approaches to search multidimensional trade spaces through interactive datavisualization and exploration. In this paper, we investigate the effectiveness and efficiency of interactive trade space exploration strategies by conducting human subject experiments with novice and expert users. A single objective, constrained design optimization problem involving the sizing of an engine combustion chamber is used for this study. Effectiveness is measured by comparing the best feasible design obtained by each user, and efficiency is assessed based on the percentage of feasible designs generated by each user. Results indicate that novices who watch a 5-min training video before the experiment obtain results that are not significantly different from those obtained by expert users, and both groups are statistically better than the novices without the training video in terms of effectiveness and efficiency. Frequency and ordering of the visualization and exploration tools are also compared to understand the differences in each group's search strategy. The implications of the results are discussed along with future work. [DOI: 10.1115/1.3615685]
A search-based multi-objective analysis and design approach is a base-line prerequisite for Concurrent Control Engineering; e.g. a multi-disciplinary integration of control engineering methods with the data and proced...
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A search-based multi-objective analysis and design approach is a base-line prerequisite for Concurrent Control Engineering; e.g. a multi-disciplinary integration of control engineering methods with the data and procedures of complementary engineering disciplines in view of holistic system optimization. Search-based multi-objective analysis and design is iterative by nature and it requires decision inter-action based on trade-off analysis. Trade-off analysis involves detection of multivariate relations in multidimensionaldata. multidimensionaldata, say of 5, 6 or higher dimensions, can be visualized by ‘parallel coordinates’. An interactive editor for parallel coordinates is implemented in a database environment to allow a designer to analyze previous design steps and thereby providing him with a decision support for possible changes in his search direction. The parallel-coordinate editor supports an interactive reduction of the dimensionality of data, selecting subsets of data, scanning data in arbitrary directions, etc. This development is along the lines of the currently evolving research area of ‘Algorithm Animation‘. Since the parallel coordinate editor is not bound to data produced by a special algorithm, it can be used for actively exploring the dynamic behavior of any computational procedure. This makes it well suited for the visual decision support of an iterative and interactive search-based design process.
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