DESAMC+DocSum: Differential evolution with self-adaptive mutation and crossover parameters for multi-document summarization.
Rasim M. AlgulievRamiz M. AliguliyevNijat R. IsazadePublished in: Knowl. Based Syst. (2012)
Keyphrases
- differential evolution
- multi document summarization
- evolutionary algorithm
- parameter optimization
- mutation operator
- optimization algorithm
- differential evolution algorithm
- evolutionary strategy
- particle swarm optimization
- convergence speed
- mutation strategy
- genetic algorithm
- function optimization problems
- crossover operator
- particle swarm optimization pso
- control parameters
- premature convergence
- evolution strategy
- multi objective optimization
- adaptive differential evolution
- hybrid algorithm
- real coded
- evolutionary programming
- initial population
- text summarization
- global optimization problems
- maximum likelihood
- crossover rate
- multi objective
- particle swarm
- mutation rate
- fitness function
- expectation maximization
- parameter estimation
- function optimization
- neural network
- single document summarization
- simulated annealing
- biogeography based optimization
- nsga ii