Improving flexibility and efficiency by adding parallelism to genetic algorithms.
Enrique AlbaJosé M. TroyaPublished in: Stat. Comput. (2002)
Keyphrases
- genetic algorithm
- artificial neural networks
- computational power
- neural network
- massively parallel
- multi objective
- shared memory
- artificial intelligence
- decision making
- real time
- simulated annealing
- classifier systems
- parallel computation
- highly efficient
- fitness function
- genetic programming
- objective function
- databases