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VERIFIED METHODS FOR COMPUTING PARETO SETS: GENERAL ALGORITHMIC ANALYSIS

机译:经验证的帕累托集计算方法:一般算法

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摘要

In many engineering problems, we face multi-objective optimization, with several objective functions f_1,...,f_n. We want to provide the user with the Pareto set-a set of all possible solutions x which cannot be improved in all categories (i.e., for which f_j(x') ≥ f_j(x) for all j and f_j(x') > f_j(x) for some j is impossible). The user should be able to select an appropriate trade-off between, say, cost and durability. We extend the general results about (verified) algorithmic computability of maxima locations to show that Pareto sets can also be computed.
机译:在许多工程问题中,我们面临具有多个目标函数f_1,...,f_n的多目标优化。我们想为用户提供帕累托集-所有可能的解决方案x的集合,在所有类别中均无法得到改进(即,对于所有j且f_j(x')≥f_j(x)> f_j(x')> f_j(x)对于某些j是不可能的)。用户应该能够在成本和耐用性之间进行适当的权衡。我们扩展关于最大位置的(可验证)算法可计算性的一般结果,以表明也可以计算Pareto集。

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