Knowledge Base component of Intelligent ALMM System based on the ontology approach
作者：
Highlights：
• Optimization of discrete production processes with ALMM Solver.
• Using the properties of optimization problems for exemplary jobs were considered.
• Description of problems regarding ontological knowledge base structure was proposed.
• Construction of algorithms solving problems of discrete optimization is possible.
• Proposed ontological approach can be applied to other classes of problems.
摘要
•Optimization of discrete production processes with ALMM Solver.•Using the properties of optimization problems for exemplary jobs were considered.•Description of problems regarding ontological knowledge base structure was proposed.•Construction of algorithms solving problems of discrete optimization is possible.•Proposed ontological approach can be applied to other classes of problems.
论文关键词：Knowledge database,Ontology,Algebraic-Logical Meta-Model,Intelligent decision technology,Discrete optimization problems,ALMM technology
论文评审过程：Received 14 May 2021, Revised 30 July 2021, Accepted 22 March 2022, Available online 4 April 2022, Version of Record 13 April 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.116975
