A Genetic Algorithm Hybridized with an Efficient Mutation Operator for Identifying Hidden Communities of Complex Networks.
Mehdi MoradiSaeed ParsaPublished in: IST (2018)
Keyphrases
- complex networks
- mutation operator
- genetic algorithm
- community detection
- crossover operator
- community structure
- initial population
- evolutionary algorithm
- differential evolution
- premature convergence
- genetic algorithm ga
- social network analysis
- evolutionary programming
- fitness function
- genetic operators
- network analysis
- community mining
- social networks
- real world networks
- particle swarm optimization
- community discovery
- multi objective
- crossover and mutation
- network structure
- link prediction
- scale free
- graph theory
- convergence rate
- job shop scheduling problem
- neural network
- nsga ii
- scale free networks
- biological networks
- optimization method
- simulated annealing
- functional modules
- small world
- evolutionary strategy
- optimization problems
- crossover and mutation operators
- information theoretic concepts
- step size
- convergence speed
- traveling salesman problem
- genetic programming
- community detection algorithms
- selection operator
- metaheuristic
- graph mining
- genetic search
- hybrid algorithm
- network evolution
- network motifs
- optimization algorithm