A crossover operator for improving the efficiency of permutation-based genetic algorithms.
Behrooz KoohestaniPublished in: Expert Syst. Appl. (2020)
Keyphrases
- crossover operator
- genetic algorithm
- mutation operator
- evolutionary algorithm
- fitness function
- function optimization
- crossover and mutation operators
- memetic algorithm
- genetic operators
- traveling salesman problem
- differential evolution
- explore the search space
- genetic algorithm ga
- real coded genetic algorithms
- population diversity
- hybrid genetic algorithm
- evolutionary computation
- constrained optimization problems
- simulated annealing
- uniform design
- genetic programming
- multi objective
- particle swarm optimization
- search space
- premature convergence
- neural network
- optimization problems
- ant colony optimization
- constrained multi objective optimization problems
- computational complexity
- selection operator
- binary representation
- genetic search
- initial population
- search capabilities