Self-Adjusting Population Sizes for Non-Elitist Evolutionary Algorithms: Why Success Rates Matter.

Mario Alejandro Hevia Fajardo Dirk Sudholt

Published in: CoRR (2021)

Keyphrases

evolutionary algorithm
success rate
fitness sharing
mutation operator
population diversity
initial population
multi objective
evolutionary process
optimization problems

differential evolution
evolution process
evolutionary strategy
fitness function
fitness landscape
evolutionary computation
genetic programming
multi objective optimization
mutation rate

genetic algorithm
simulated annealing
crossover operator
differential evolution algorithm
evolution strategy
nsga ii
genetic operators
premature convergence
estimation of distribution algorithms

multi objective evolutionary algorithms
evolutionary search
data sets
multiobjective optimization
optimization method
island model
constrained optimization problems
cost function