DMEA - An algorithm that combines differential mutation with the fitness proportionate selection.
Jaroslaw ArabasLukasz BartnikKarol R. OparaPublished in: SDE (2011)
Keyphrases
- genetic algorithm
- dynamic programming
- selection algorithm
- crossover and mutation
- computational complexity
- learning algorithm
- preprocessing
- detection algorithm
- particle swarm optimization
- evolutionary algorithm
- computational cost
- convergence rate
- recognition algorithm
- theoretical analysis
- expectation maximization
- hybrid algorithm
- cost function
- times faster
- clonal selection algorithm
- differential evolution
- fitness function
- clustering method
- genetic programming
- simulated annealing
- high accuracy
- experimental evaluation
- np hard
- significant improvement
- objective function