Emergence of Diversity and Its Benefits for Crossover in Genetic Algorithms.
Duc-Cuong DangTobias FriedrichTimo KötzingMartin S. KrejcaPer Kristian LehrePietro S. OlivetoDirk SudholtAndrew M. SuttonPublished in: PPSN (2016)
Keyphrases
- genetic algorithm
- mutation operator
- premature convergence
- evolutionary process
- evolutionary algorithm
- crossover operator
- genetic programming
- population diversity
- differential evolution
- fitness function
- crossover and mutation
- multi objective
- genetic algorithm ga
- evolutionary computation
- simulated annealing
- neural network
- fuzzy logic
- artificial neural networks
- population size
- search capabilities
- metaheuristic
- tabu search
- data sets
- genetic operators
- initial population
- selection strategy
- real time
- learning algorithm
- multi agent
- memetic algorithm
- optimization algorithm