Dissemination of algorithms for decision-making aiding in the design of furniture and other products made of lignocellulosic materials in the scientific literature

A. Jasińska, M. Sydor
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Abstract

Dissemination of algorithms for decision-making aiding in the design of furniture and other products made of lignocellulosic materials in the scientific literature. The issue of the proper selection of dimensions of the designed products can be supported with the use of mathematical algorithms built into CAD systems. There are many such algorithms, they have their specificity and areas of application. The article lists a dozen or so of the most popular algorithms of this type, and then checks their prevalence in the scientific literature on furniture design. The result is a point the method (group of methods) that best takes into account the specific features of lignocellulosic materials. The main conclusion is that the most popular algorithms are: the ε-constraint method, genetic algorithms and artificial immune systems. The most popular is the ε-constraint method.
在科学文献中传播决策算法,帮助设计家具和其他由木质纤维素材料制成的产品
在科学文献中传播决策算法,帮助设计家具和其他由木质纤维素材料制成的产品。设计产品尺寸的适当选择问题可以通过使用内置在CAD系统中的数学算法来支持。有许多这样的算法,它们有其特殊性和应用领域。本文列出了十几种最流行的这类算法,然后检查了它们在家具设计科学文献中的流行程度。结果是一种方法(一组方法)最能考虑到木质纤维素材料的具体特征。主要结论是,最流行的算法是:ε约束法、遗传算法和人工免疫系统。最常用的是ε约束方法。
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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