A note on the first hitting time of (1 + λ) evolutionary algorithm for linear functions with boolean inputs

Jun He
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引用次数: 7

Abstract

Linear functions, as a canonical model of unimodal problems, have been widely used in the theoretical study of evolutionary algorithms (EAs). However in most of cases, only the simplest linear function, i.e. One-Max function, is taken in the theoretical study. A question arises naturally: whether can the results for One-Max function be generalized to linear functions? The main contribution of this paper is to generalize a result about the first hitting time of (1 + λ) EA from One-Max function [1] to linear functions. A new proof is proposed based on drift analysis. This work is a direct extension of the previous analysis of (1 + 1) EA for linear functions [2].
关于布尔输入线性函数(1 + λ)进化算法的第一次命中时间的注记
线性函数作为单峰问题的典型模型,在进化算法的理论研究中得到了广泛的应用。然而,在大多数情况下,在理论研究中只采用最简单的线性函数,即One-Max函数。一个问题自然产生了:一元极大函数的结果是否可以推广到线性函数?本文的主要贡献是将(1 + λ) EA的第一次命中时间从One-Max函数[1]推广到线性函数。提出了一种新的基于漂移分析的证明方法。这项工作是先前线性函数的(1 + 1)EA分析的直接推广[2]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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