Population size and scalability in the aeseh evolutionary many-objective algorithm.
Hernán E. AguirreArnaud LiefoogheSébastien VérelKiyoshi TanakaPublished in: GECCO (Companion) (2013)
Keyphrases
- population size
- learning algorithm
- parameter settings
- np hard
- dynamic programming
- mutation rate
- genetic algorithm
- benchmark problems
- computational efficiency
- probabilistic model
- cost function
- optimal solution
- particle swarm optimization
- combinatorial optimization
- convergence rate
- hybrid algorithm
- parameter values
- test problems
- evolutionary algorithm