A special issue focused on superiorization versus constrained optimization: analysis and applications

T. Humphries, M. Loreto, B. Halter, W. O'Keeffe
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Abstract

In many mathematical formulations of significant real-world technological or physical problems, the objective function is exogenous to the modeling process which defines the constraints. In such cases, the faith of the modeler in the usefulness of an objective function for the application at hand is limited and it is probably not worthwhile to invest a great effort in reaching an exact constrained minimum point. This is a major justification for using the superiorization method for practical applications.
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一个特别的问题集中在上级与约束优化:分析和应用
在许多重要的现实世界技术或物理问题的数学公式中,目标函数是定义约束的建模过程的外生函数。在这种情况下,建模者对手头应用程序的目标函数的有用性的信心是有限的,并且可能不值得投入大量精力来达到精确的约束最小点。这是在实际应用中使用上级化方法的主要理由。
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