多目标迭代算法的独立约束与相关约束

J. Mait, W. Rhodes
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摘要

约束迭代算法主要应用于单目标应用,1这里的目标是指要从部分信息中重建的分布或用所需特征合成的分布。在作者最近的一项工作中,2 Fienup的误差减少算法被扩展到多目标,如图1所示,并应用于一个具有两个目标的特定综合问题。在本文中,我们说明了多目标迭代算法的一个重要特征,依赖约束。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dependent and Independent Constraints for a Multiple Objective Iterative Algorithm
Constrained iterative algorithms have been applied primarily to single objective applications,1 where by objective we mean that distribution that is to be reconstructed from partial information or synthesized with desired characteristics. In a recent work by the authors,2 Fienup's error-reduction algorithm was extended to multiple objectives, as shown in Fig. 1, and was applied to a specific synthesis problem with two objectives. In this paper, we illustrate an important characteristic of multiple objective iterative algorithms, dependent constraints.
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