Study of the point scattering uniform algorithms in R40 space

Author:

Stupina A A,Pavlenko A A,Tikhonenko D V,Tynchenko V V,Bukhtoyarov V V,Tynchenko S V

Abstract

Abstract The use of randomness in the spread of points in the R40 space gives doubts about the stability of using these spreads and the stability of global optimization algorithms predictions that are based on these spreads. The uniformity of the following initial points scatter algorithms is analyzed: LPτ sequence, UDC sequence, uniform random spread in R40. The uniformity of the spread was determined by the distance of the points from the centers of the grid cells in two-dimensional coordinate planes of the R40 cube space and by the uniformity of the projections of the points on the coordinate axes in these planes. The authors identified the features of using the points spread algorithms when the number of points is multiple to two and not multiple to two. The UDC sequence is the best initial point spread algorithm in the R40 space by two uniformity factors. LPτ sequence is at the second place and recently used uniform random scatter is at the third place.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference7 articles.

1. Multipopulation genetic algorithm for determining crystal structures using powder diffraction data;Zaloga;J. of surface investigation: X-ray, synchrotron and neutron techniques,2018

2. Selective pressure strategy in differential evolution: exploitation improvement in solving global optimization problems;Stanovov,2018

3. Soft island model for population-based optimization algorithms;Akhmedova,2018

4. Genetic algorithm for automated X-Ray diffraction full-profile analysis of electrolyte composition on aluminium smelters;Zaloga,2015

5. The problem of optimal control and its solution by the evolutionary algorithm of the gray wolf;Diveev;Bull. of the Russian University of friendship of peoples ser. Engineering research,2018

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3