Theoretical analysis of evolutionary algorithms with an infinite population size in continuous space. Part I: Basic properties of selection and mutation.
Xiaofeng QiFrancesco PalmieriPublished in: IEEE Trans. Neural Networks (1994)
Keyphrases
- population size
- evolutionary algorithm
- theoretical analysis
- continuous space
- mutation rate
- genetic algorithm
- initial population
- island model
- evolutionary computation
- differential evolution
- fitness function
- optimization problems
- multi objective
- differential evolution algorithm
- discrete space
- parameter settings
- fitness landscape
- crossover and mutation
- multi objective optimization
- markov chain
- mutation operator
- genetic programming
- genetic operators
- genetic algorithm ga
- evolutionary search
- simulated annealing
- crossover operator
- mathematical morphology
- artificial neural networks
- neural network
- evolution strategy
- dynamic programming
- evolutionary process
- hybrid algorithm