An application of graph based evolutionary algorithms for diversity preservation.
Kenneth M. BrydenDaniel A. AshlockDouglas S. McCorklePublished in: IEEE Congress on Evolutionary Computation (2004)
Keyphrases
- evolutionary algorithm
- population diversity
- evolutionary process
- multi objective
- evolutionary computation
- optimization problems
- differential evolution
- simulated annealing
- mutation operator
- premature convergence
- fitness function
- genetic algorithm
- multi objective optimization
- differential evolution algorithm
- genetic programming
- crossover operator
- graph model
- graph theoretic
- multi objective evolutionary algorithms
- semi supervised
- constrained optimization problems
- evolution strategy
- evolutionary strategy
- evolvable hardware
- optimization algorithm
- nsga ii
- convergence speed
- computational intelligence
- artificial neural networks
- information retrieval
- neural network
- data sets