Uncertainty based genetic algorithm with varying population for random fuzzy maximum flow problem.
Saibal MajumderBishwajit SahaPragya AnandSamarjit KarTandra PalPublished in: Expert Syst. J. Knowl. Eng. (2018)
Keyphrases
- initial population
- genetic algorithm
- fuzzy measures
- fuzzy logic
- population size
- multi population
- fuzzy sets
- fuzzy information
- mutation operator
- fitness function
- crossover and mutation
- membership functions
- imprecise information
- evolutionary algorithm
- imprecise data
- fuzzy random variables
- fuzzy systems
- hybrid algorithm
- messy genetic algorithm
- genetic operators
- multi criteria
- genetic algorithm ga
- evidence theory
- interval type fuzzy
- evolutionary process
- differential evolution algorithm
- fuzzy linear programming
- fuzzy rules
- evolutionary computation
- fuzzy set theory
- crossover operator
- belief functions
- differential evolution
- artificial neural networks
- fuzzy clustering
- uncertain data
- handling uncertainty
- neural network
- multi objective
- interval valued
- metaheuristic
- binary strings
- computational intelligence
- information granulation
- wireless sensor networks
- rough sets
- simulated annealing
- triangular fuzzy numbers
- mutation probability
- genetic programming
- possibility theory
- fuzzy controller