Genetic algorithm based on fuzzy system for uncapacitated p-median problem
AuthorVarnamkhasti, M. Jalali
MetadataShow full item record
CitationVarnamkhasti, M. J. (2009). Genetic algorithm based on fuzzy system for uncapacitated p-median problem. Maltepe Üniversitesi. s. 243.
In this paper for solving uncapacitated p-median location problem a genetic algorithm is considered. In this genetic algorithm is using fuzzy system to control probability of crossover and mutation. In this fuzzy system two membership functions for each chromosome is considered. One membership function for minimizing the weighted average distance traveled from demand point to facility sites and other, for amount of covering demand points by facilities. A sexual selection is considered and during the sexual selection, the male and female chromosomes are selected randomly. When a parent is selected the fuzzy system considers membership functions and a probability of crossover for this parent is introduced. And after crossover fuzzy system calculated a probability for mutation and introduce to genetic algorithm. In order to assess the performance of the techniques used in this study, the benchmark problems available in open literature are used.
SourceInternational Conference of Mathematical Sciences
- Makale Koleksiyonu 
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