On convergence and optimality of genetic algorithms.
Witold KosinskiStefan KotowskiZbyszek MichalewiczPublished in: IEEE Congress on Evolutionary Computation (2010)
Keyphrases
- genetic algorithm
- neural network
- convergence speed
- artificial neural networks
- simulated annealing
- asymptotic optimality
- multi objective
- fitness function
- convergence rate
- genetic programming
- evolutionary computation
- optimization method
- particle swarm optimization
- genetic search
- evolution process
- population size
- classifier systems
- asymptotically optimal
- optimal solution
- genetic operators
- crossover operator
- iterative algorithms
- database
- fuzzy logic
- information systems
- parallel genetic algorithms
- simplex search
- convergence theorem