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A Wolfe-Type Steepest Descent Algorithm for Uncertain Quadratic Multiobjective Optimization Problems

delete2026-01-01
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PRE
AI
K
Kumar, Shubham *
D
Deep, Amar
DOI：10.5269/bspm.81660delete
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摘要

摘要

En 中文
本文通过将不确定二次多目标优化问题（UQMOPs）基于目标最坏情况准则重构为确定性鲁棒对偶问题，开发了一种Wolfe型最速下降算法。所提方法采用Wolfe型不精确线搜索以获得更高效的下降方向并改善整体收敛行为。在标准假设下，建立了Zoutendijk型条件以保障线性收敛。
Keyword:
Quadratic problem
uncertainty
multiobjective optimization
robust efficiency
steepest descent method

期刊

B
Boletim Sociedade Paranaense de Matematica
IF:
0.4
论文数:
604
被引数:
0

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