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Weighted recombination evolution strategy on a class of PDQF's

机译:一类PDQF的加权重组进化策略

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This work is concerned with a weighted recombination method for Evolution Strategies (ES) on a class of positive definite quadratic forms (PDQF). In particular, the λopt-ES and the λopt-CSA-ES will be analyzed. A characteristic of both strategies is the use of weighted recombination of all offspring within an iteration step. After obtaining equations describing the evolutionary process, the weights and the progress rate for the λopt-ES will be derived. It is shown that the optimal mutation strength (step size) for the λopt-ES yields an asymptotic limit value of 2κ, where κ is an user-chosen rescaling factor. Afterwards the cumulative step-length adaptation (CSA) is analyzed to determine the target mutation strength (the mutation strength the strategy tries to reach by means of adaptation) and the actually attained mutation strength. For both the asymptotic values are obtained at √2κ. To justify the theoreticalresults, comparisons with simulations are presented.
机译:这项工作涉及一类正定二次型(PDQF)上进化策略(ES)的加权重组方法。特别是,将分析λopt-ES和λopt-CSA-ES。两种策略的一个特点是在迭代步骤中对所有后代进行加权重组。在获得描述演化过程的方程式之后,将得出λopt-ES的权重和进度。结果表明,针对λopt-ES的最佳突变强度(步长)产生的渐近极限值为2κ,其中κ是用户选择的缩放因子。然后,分析累积步长适应(CSA),以确定目标突变强度(该策略试图通过适应达到的突变强度)和实际达到的突变强度。对于这两个渐近值,均在√2κ处获得。为了证明理论结果的正确性,提出了与仿真的比较。

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