利用生物启发综合算法开发解决方案搜索方法

Q3 Mathematics
Khudhair Abed Thamer, O. Sova, Olena Shaposhnikova, Volodymyr Yashchenok, I. Stanovska, Serhii Shostak, Oleksandr Rudenko, Serhii Petruk, Olha Matsyi, Svitlana Kashkevich
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引用次数: 0

摘要

研究对象是决策支持系统。研究对象是管理问题的决策过程,使用一种生物启发的组合算法,包括:- 改进的狼优化算法和改进的麻雀搜索算法--用于解决有关对象状态的优化问题;- 先进的遗传算法--用于选择麻雀群中的最佳代理;- 先进的训练方法--用于代理的深度训练,以提高代理的优化特性。该方法的操作顺序如下:- 输入初始数据;- 对麻雀群及其参数进行初始化搜索;- 使用先进的遗传算法对麻雀代理进行排序和选择;- 为发现者更新麻雀位置;- 检查更新麻雀位置的条件;- 初始化其他搜索参数;- 运行灰狼优化算法;- 训练代理的知识库;- 确定智能决策支持系统所需的计算资源数量。所提方法的独创性在于综合利用了生物启发算法、考虑到初始数据不确定性的代理设置、先进的全局和局部搜索程序。该方法利用额外的改进程序将数据处理效率提高了 19%。为解决国家安全问题,建议使用该方法来解决复杂动态过程的评估问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a solution search method using a combined bio-inspired algorithm
The object of the study is decision support systems. The subject of the study is the decision-making process in management problems using a combined bio-inspired algorithm, consisting of: – the improved wolf optimization algorithm and the improved sparrow search algorithm – for solving optimization problems regarding the object state; – an advanced genetic algorithm – for selecting the best agents in flocks; – an advanced training method – for deep training of agents to improve the optimization characteristics of agents. A solution search method using an improved bio-inspired algorithm is proposed. The method has the following sequence of actions: – input of initial data; – initialization of the search for a flock of sparrows and its parameters; – ranking and selection of sparrow agents using an advanced genetic algorithm; – updating the sparrow location for the discoverer; – checking the conditions for updating the position of sparrows; – initialization of additional search parameters; − running the gray wolf optimization algorithm; – training agents’ knowledge bases; – determining the amount of necessary computing resources of the intelligent decision support system. The originality of the proposed method lies in the combined use of bio-inspired algorithms, setting agents taking into account the uncertainty of the initial data, advanced global and local search procedures. The method makes it possible to increase the efficiency of data processing at the level of 19 % using additional improved procedures. The proposed method should be used to solve the problems of evaluating complex and dynamic processes in the interest of solving national security problems
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来源期刊
Eastern-European Journal of Enterprise Technologies
Eastern-European Journal of Enterprise Technologies Mathematics-Applied Mathematics
CiteScore
2.00
自引率
0.00%
发文量
369
审稿时长
6 weeks
期刊介绍: Terminology used in the title of the "East European Journal of Enterprise Technologies" - "enterprise technologies" should be read as "industrial technologies". "Eastern-European Journal of Enterprise Technologies" publishes all those best ideas from the science, which can be introduced in the industry. Since, obtaining the high-quality, competitive industrial products is based on introducing high technologies from various independent spheres of scientific researches, but united by a common end result - a finished high-technology product. Among these scientific spheres, there are engineering, power engineering and energy saving, technologies of inorganic and organic substances and materials science, information technologies and control systems. Publishing scientific papers in these directions are the main development "vectors" of the "Eastern-European Journal of Enterprise Technologies". Since, these are those directions of scientific researches, the results of which can be directly used in modern industrial production: space and aircraft industry, instrument-making industry, mechanical engineering, power engineering, chemical industry and metallurgy.
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