移动峰值基准任务并行优化的B-Cell算法

6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07) Pub Date : 2007-06-28 DOI:10.1109/CISIM.2007.17

K. Trojanowski

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引用次数: 16

摘要

本文以移动峰值基准(MPB)为研究对象，研究了b cell算法在移动峰值基准测试中的应用效率。我们特别关注MPB场景2产生的健身景观家族。它们都代表了随机变化的环境。讨论了该算法的一些特性以及由MPB生成的环境的特性。给出了某一控制参数的修改所产生的副作用及其对离线误差测量的影响。

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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B-Cell Algorithm as a Parallel Approach to Optimization of Moving Peaks Benchmark Tasks

Efficiency of the B-Cell algorithm applied to one of the well-known test-case generators, the moving peaks benchmark (MPB) is a subject of study presented in this paper. We especially focused on the family of fitness landscapes generated by scenario 2 of the MPB. All of them represent the class of randomly changing environments. Some properties of the algorithm as well as the properties of the environments created by the generator MPB are discussed. A side effect of modification of one of the control parameters and its influence on the offline error measure is presented.

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6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07)

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