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Objective Space Distortion Dominance

机译:客观空间畸变优势

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摘要

A large number of objectives leads for most problems to a significant drop in selection pressure.As a consequence,all algorithms,in this setup,tend to approach the behaviour one would expect to see when using a completely random sampling.A main cause of this problem is that any two random solutions become increasingly likely not to be comparable from a Pareto dominance point of view.As a step forward towards addressing this problem,we present a set of coordinates transforms which can be used to control dominance.The same formalism can be used from within an adaptive or dynamic algorithm,with the strength and bias of each transform being varied during the sampling process.
机译:大量的目标导致大多数问题导致选择压力显着下降。结果,在这种设置下,所有算法都趋于接近人们在使用完全随机采样时可能期望看到的行为。问题是,从帕累托优势地位的角度来看,任意两个随机解变得越来越不可比。作为朝着解决这个问题迈出的一步,我们提出了一套可用于控制优势的坐标变换。相同的形式主义可以可以从自适应或动态算法中使用,在采样过程中每次转换的强度和偏差都会变化。

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