{"title":"Structural-Functional Models for Effective Topologies Search","authors":"L. A. Mylnikov, S. L. Mylnikova, Z. Zh. Avramovic","doi":"10.3103/S0005105525700517","DOIUrl":null,"url":null,"abstract":"<p>The problem of generating effective configurations of structural-functional models of process activity using event-driven process methodology notation is discussed. A symbolic encoding system for topologies and a random search method, which allows generating many solutions based on previous options, are proposed. The presented experiments show that the proposed method helps to find effective configurations of the organization of processes that take into account the delimitations; if these delimitations cannot be implemented, then they suggest options in breach of them and introduce new options not previously proposed by experts, `comparing them according to performance evaluation data.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"59 2","pages":"71 - 77"},"PeriodicalIF":0.5000,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S0005105525700517","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
The problem of generating effective configurations of structural-functional models of process activity using event-driven process methodology notation is discussed. A symbolic encoding system for topologies and a random search method, which allows generating many solutions based on previous options, are proposed. The presented experiments show that the proposed method helps to find effective configurations of the organization of processes that take into account the delimitations; if these delimitations cannot be implemented, then they suggest options in breach of them and introduce new options not previously proposed by experts, `comparing them according to performance evaluation data.
期刊介绍:
Automatic Documentation and Mathematical Linguistics is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.