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Weighted recombination evolution strategy on a class of PDQF's

机译:一类PDQF的加权重组演进策略

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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:这项工作涉及对一类正定二次形式(PDQF)的进化策略的加权重组方法。特别地,将分析λopt-es和λopt-csa-es。两种策略的特征是在迭代步骤中使用所有后代的加权重组。在获得描述进化过程的等式之后,将导出λopt-es的权重和进度率。结果表明,λopt-es的最佳突变强度(步长)产生了2κ的渐近极限值,其中κ是用户选择的重新分配因子。之后分析累积步长适应(CSA)以确定目标突变强度(突变强度策略试图通过适应达到),实际上达到突变强度。对于在χ2κ获得的渐近值。为了证明理论结果,提出了与模拟的比较。

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