Maqola

Fuzzy Genetic Algorithm for Solving Optimization Problems

D.T. MuhamediyevaTashkent University of Information Technologies named after Muhammad al-Khwarizmi Amir Temurstreet, Tashkent, UzbekistanTJPRC

International journal of mechanical and production engineering research and developmentjournal2020en

ABI

Annotatsiya

Considered a fuzzy genetic algorithm in which fuzzy rules for creating genetic operators with various properties and fuzzy criteria for stopping the genetic search process are implemented using fuzzy logic tools. In this case, the mathematical apparatus of the theory of fuzzy systems is used to encode, select the optimal parameters of genetic algorithms, select the fitness function and stopping criterion, and create fuzzy genetic operators.

Mavzular

Metaheuristic Optimization Algorithms Research Advanced Manufacturing and Logistics Optimization

Identifikatorlar

DOI: 10.24247/ijmperdjun2020332

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