Composite clustering crossover operator for improving genetic algorithms.
Andrei BusmachiuPublished in: SYNASC (2023)
Keyphrases
- crossover operator
- genetic algorithm
- evolutionary algorithm
- mutation operator
- fitness function
- function optimization
- differential evolution
- genetic algorithm ga
- crossover and mutation operators
- genetic operators
- traveling salesman problem
- memetic algorithm
- explore the search space
- real coded genetic algorithms
- clustering algorithm
- population diversity
- k means
- evolutionary computation
- constrained optimization problems
- genetic programming
- uniform design
- hybrid genetic algorithm
- constrained multi objective optimization problems
- premature convergence
- nsga ii
- clustering method
- simulated annealing
- multi objective
- multi objective optimization
- metaheuristic
- fuzzy logic
- evolution strategy
- differential evolution algorithm
- initial population
- crossover and mutation
- particle swarm optimization
- neural network