A Crossover That Matches Diverse Parents Together in Evolutionary Algorithms.
Maciej SwiechowskiPublished in: CoRR (2021)
Keyphrases
- evolutionary algorithm
- differential evolution
- multi objective
- crossover operator
- evolutionary computation
- optimization problems
- genetic programming
- simulated annealing
- mutation operator
- genetic algorithm
- multi objective optimization
- wide variety
- differential evolution algorithm
- fitness function
- genetic operators
- evolutionary process
- constrained optimization problems
- island model
- particle swarm optimization
- population diversity
- evolutionary search
- initial population
- artificial intelligence
- evolution process
- real world
- neural network
- particle swarm
- nsga ii