Self-adjusting Population Sizes for Non-elitist Evolutionary Algorithms: Why Success Rates Matter.
Mario Alejandro Hevia FajardoDirk SudholtPublished in: Algorithmica (2024)
Keyphrases
- evolutionary algorithm
- success rate
- fitness sharing
- mutation operator
- population diversity
- initial population
- multi objective
- evolutionary process
- differential evolution
- optimization problems
- evolution process
- evolutionary computation
- fitness landscape
- multi objective optimization
- genetic operators
- island model
- fitness function
- evolutionary strategy
- nsga ii
- genetic algorithm
- mutation rate
- genetic programming
- differential evolution algorithm
- candidate solutions
- estimation of distribution algorithms
- crossover operator
- simulated annealing
- particle swarm
- evolution strategy
- multi objective evolutionary algorithms
- population size
- premature convergence
- binary search trees
- neural network
- optimization method
- optimization algorithm
- hyper heuristics
- particle swarm optimization
- evolutionary search
- population dynamics
- cultural algorithms
- multiobjective evolutionary algorithms
- hybrid algorithm