Does constraining the search space of GA always help?: the case of balanced crossover operators.
Luca ManzoniLuca MariotEva TubaPublished in: GECCO (Companion) (2019)
Keyphrases
- crossover operator
- fitness function
- genetic algorithm ga
- search space
- explore the search space
- genetic algorithm
- evolutionary algorithm
- mutation operator
- differential evolution
- genetic operators
- memetic algorithm
- genetic programming
- hybrid genetic algorithm
- metaheuristic
- multi objective
- traveling salesman problem
- crossover and mutation operators
- neural network
- search algorithm
- global optimum
- optimization method
- premature convergence
- population diversity
- evolutionary computation
- random search
- simulated annealing
- global optimization
- particle swarm optimization pso
- fitness landscape
- optimization algorithm