On the Solution of Min-Max Problems in Robust Optimization

机译：鲁棒优化中最小极大问题的求解

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The paper presents a simple memetic algorithm for the solution of min-max problems.It will be shown how some of the heuristics provide the analogous mechanism of other evolutionary and non-evolutionary heuristics proposed in the literature.It will be also argued that some existing heuristics might not be sufficient to correctly solve the problem and to avoid the so called red-queen effect.

机译：本文提出了一种解决最小-最大问题的简单模因算法，将说明某些启发式算法如何提供文献中提出的其他进化和非进化启发式算法的类似机制。启发式方法可能不足以正确解决问题并避免所谓的红色女王效应。

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来源
《EVOLVE 2014 Proceedings: A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computing》|2014年|1-6|共6页
会议地点 Beijing(CN)
作者
Massimiliano Vasile;
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作者单位

Department of Mechanical Aerospace Engineering,University of Strathclyde. 75 Montrose Street, G1 1XJ Glasgow, UK;

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原文格式 PDF
正文语种 eng
中图分类代数、数论、组合理论;
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1. Scenario relaxation algorithm for finite scenario-based min-max regret and min-max relative regret robust optimization [J] . Tiravat Assavapokee, Matthew J. Realff, Jane C. Ammons, Computers & operations research . 2008,第6期

机译：基于场景有限的最小-最大后悔和最小-最大相对后悔鲁棒优化的场景松弛算法
2. Min-max and robust polynomial optimization [J] . J. B. Lasserre Journal of Global Optimization . 2011,第1期

机译：最小-最大和鲁棒多项式优化
3. Min-max regret robust optimization approach on interval data uncertainty [J] . Assavapokee T, Realff MJ, Ammons JC Journal of Optimization Theory and Applications . 2008,第2期

机译：最小-最大后悔区间数据不确定性鲁棒优化方法
4. An evolutionary approach to the solution of multi-objective min-max problems in evidence-based robust optimization [C] . Alicino Simone, Vasile Massimiliano IEEE Congress on Evolutionary Computation . 2014

机译：基于证据的鲁棒优化中多目标最小-最大问题求解的进化方法
5. A new solution methodology for min-max regret robust optimization for interval data uncertainty using priority based approximation algorithms and Benders' decomposition [D] . George, Ronny John 2007

机译：使用基于优先级的近似算法和Benders分解算法对区间最大值不确定性进行最小-最大后悔鲁棒优化的新方法
6. A ComparativeTheoretical and Computational Study on Robust Counterpart Optimization:III. Improving the Quality of Robust Solutions [O] . Zukui Li, Christodoulos A. Floudas, * -1

机译：比较鲁棒对口优化的理论和计算研究：三提高稳健解决方案的质量
7. An evolutionary approach to the solution of multi-objective min-max problems in evidence-based robust optimization [O] . Alicino, Simone, Vasile, Massimiliano 2014

机译：基于证据的鲁棒优化中求解多目标最小-最大问题的进化方法
8. Min-Max Bias Robust Regression [R] . Martin, R. D., Yohai, V. J., Zamar, R. H. 1987

机译：min-max偏差鲁棒回归

On the Solution of Min-Max Problems in Robust Optimization

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