Aggregation and Disaggregation Techniques and Methodology in Optimization
| Autor: | Robert D. Plante, David F. Rogers, Richard T. Wong, James R. Evans |
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| Rok vydání: | 1991 |
| Předmět: |
Mathematical optimization
Optimization problem Linear programming business.industry Univariate Management Science and Operations Research Machine learning computer.software_genre Computer Science Applications Nonlinear programming Set (abstract data type) Dynamic programming Artificial intelligence business computer Integer programming Level of detail Mathematics |
| Zdroj: | Operations Research. 39:553-582 |
| ISSN: | 1526-5463 0030-364X |
| DOI: | 10.1287/opre.39.4.553 |
| Popis: | A fundamental issue in the use of optimization models is the tradeoff between the level of detail and the ease of using and solving the model. Aggregation and disaggregation techniques have proven to be valuable tools for manipulating data and determining the appropriate policies to employ for this tradeoff. Furthermore, aggregation and disaggregation techniques offer promise for solving large-scale optimization models, supply a set of promising methodologies for studying the underlying structure of both univariate and multivariate data sets, and provide a set of tools for manipulating data for different levels of decision makers. In this paper, we develop a general framework for aggregation and disaggregation methodology, survey previous work regarding aggregation and disaggregation techniques for optimization problems, illuminate the appropriate role of aggregation and disaggregation methodology for optimization applications, and propose future research directions. |
| Databáze: | OpenAIRE |
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