How Crossover Speeds up Building Block Assembly in Genetic Algorithms.
Dirk SudholtPublished in: Evol. Comput. (2017)
Keyphrases
- building blocks
- genetic algorithm
- crossover operator
- evolutionary algorithm
- genetic programming
- differential evolution
- mutation operator
- genetic algorithm ga
- fitness function
- simulated annealing
- multi objective
- genetic operators
- high speed
- artificial neural networks
- initial population
- crossover and mutation
- neural network
- multi objective optimization
- back end
- fuzzy logic
- evolutionary computation
- metaheuristic
- function optimization
- hybrid algorithm
- genetic search
- population size
- databases
- visually guided
- software components
- tabu search
- selection strategy
- global search
- classifier systems
- convergence rate
- optimization method
- evolution process
- relational databases
- parallel genetic algorithm
- assembly process
- database