A Statistical Approach to Dealing with Noisy Fitness in Evolutionary Algorithms.
Juan Julián Merelo GuervósZeineb ChellyAntonio Mora GarcíaAntonio Fernández-AresAnna Isabel Esparcia-AlcázarCarlos CottaPaloma de las CuevasNuria RicoPublished in: IJCCI (Selected Papers) (2014)
Keyphrases
- evolutionary algorithm
- fitness function
- multi objective
- optimization problems
- evolutionary computation
- differential evolution
- multi objective optimization
- population diversity
- simulated annealing
- genetic programming
- genetic algorithm
- statistical analysis
- evolutionary process
- evolution strategy
- evolution process
- genetic operators
- statistical information
- differential evolution algorithm
- mutation operator
- fitness landscape
- information theoretic
- initial population
- statistical models
- fitness values
- multiobjective evolutionary algorithms
- evolutionary artificial neural networks
- evolutionary strategy
- population size
- noisy environments
- particle swarm
- particle swarm optimization pso
- statistical methods
- artificial intelligence