On Convergence of Evolutionary Algorithms Powered by Non-random Generators.
Ivan ZelinkaDonald DavendraRoman SenkerikMichal PluhacekZuzana Komínková OplatkováPublished in: ICAISC (1) (2014)
Keyphrases
- evolutionary algorithm
- population diversity
- optimization problems
- multi objective
- differential evolution
- initial population
- evolutionary computation
- convergence speed
- differential evolution algorithm
- convergence theorem
- genetic programming
- fitness function
- simulated annealing
- multi objective optimization
- genetic algorithm
- mutation operator
- evolution strategy
- crossover operator
- genetic operators
- convergence rate
- optimization method
- evolutionary process
- multi objective evolutionary algorithms
- evolutionary strategy
- global convergence
- computational intelligence
- learning algorithm
- constrained optimization problems
- fitness landscape
- optimization algorithm