The Newest Method for Optimizing Clusters of Special-Purpose Structures through BIM Modeling
DOI:
https://doi.org/10.32347/2410-2547.2025.114.319-327Keywords:
special-purpose facilities and structures, cluster geometric modeling, neural networksAbstract
A method of cluster geometric modeling is proposed and the results of this method application were considered to optimize resources when solving defense issues. An example of the necessary solution to the problem of reforming the placement of special-purpose facilities and structures in the light of the new concept of Ukrainian defense has been chosen, and on this basis an algorithm for quantitative and qualitative solution of the problem has been developed using modern neural networks.The article proposes a general method of cluster geometric modeling in resource optimization, which will be an urgent need to solve the problems facing Ukraine. For the effective formation and functioning of the Armed Forces of Ukraine and their development, it is necessary to maintain their material and technical support at a high level, which must meet modern requirements and world standards. The current relevance of the problem indicates an urgent need to study the problems of norming and standardization and the creation of territorial planning and urban planning solutions for property defense complexes under the conditions of the transition to a new concept of defense construction in Ukraine, close to world standards.
The purpose of the study is to create a toolkit to optimize the solution of problems that will arise in the process of developing the concept of complex modeling of the characteristics of special-purpose structures and related issues of territorial planning and urban development solutions.According to the authors, currently, complex, mainly anthropological, expert methods are mostly used when planning resources. Creating mathematical models requires a lot of time, which is unacceptable under current conditions, but if an already developed algorithm is used, which will be operated by a modern neural network, this drawback can be eliminated.The topic of decision optimization is currently a poorly structured multi-criteria problem. In addition, the existing correlations between influencing factors require the development of a complex apparatus for making urgent decisions.
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