Semi-Automatic Program Construction from Specifications Using Library Modules
IEEE Transactions on Software Engineering
Queueing Systems: Theory and Applications
Automatic Construction of XML-Based Tools Seen as Meta-Programming
Automated Software Engineering
A New Complicated-Knowledge Representation Approach Based on Knowledge Meshes
IEEE Transactions on Knowledge and Data Engineering
Adaptive Newton-based multivariate smoothed functional algorithms for simulation optimization
ACM Transactions on Modeling and Computer Simulation (TOMACS)
A new approach to generate weighted fuzzy rules using genetic algorithms for estimating null values
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Genetic algorithm modeling for the inspection allocation in reentrant production systems
Expert Systems with Applications: An International Journal
Machining fixture locating and clamping position optimization using genetic algorithms
Computers in Industry
Expert Systems with Applications: An International Journal
Computers & Mathematics with Applications
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This paper deals with an approach to the automatic construction and optimization of the knowledge mesh (KM) based on the user's function requirements. Once a KM multiple set operation expression is obtained, a new KM can be inferred from the expression by the developed KM-based inference engine and transformed into its corresponding KMS (knowledgeable manufacturing system) software automatically by the developed automatic program construction software so as to realize the self-reconfiguration of the KMS. Thus, the automatic construction and optimization of a KM multiple set operation expression is equivalent to the automatic construction and optimization of its corresponding KM and KMS software. To explore the automatic construction and optimization of the new KM by the user's function requirements, an automatic construction procedure of a KM aiming at the user's maximum function-satisfaction is proposed. Firstly, the fuzzy function-satisfaction degree relationships of the users' requirements for the KM functions are defined, and so are the multiple fuzzy function-satisfaction degrees of the relationships. Secondly, operations (union, intersection and minus) on both fuzzy and multiple fuzzy function-satisfaction degrees are proposed and clarified, along with the proof that there exists a one-to-one mapping between the KM multiple set operation expression and the KM-function-satisfaction degree expression. Then, the optimization model of the KM multiple set operation expression is constructed and proved to be very NP-hard. And finally, the KM multiple set operation expression is optimized by the hybrid genetic-tabu algorithm, with the steps of the KM's automatic construction presented in detail as well. Based upon the above, the KM's automatic construction and optimization are illustrated by an actual KM example which corresponds to the management information system (MIS) software used in a vehicle body plant. The proposed approach proves to be very effective.