Weighted differential evolution algorithm for numerical function optimization: a comparative study with cuckoo search, artificial bee colony, adaptive differential evolution, and backtracking search optimization algorithms.
Pinar ÇiviciogluErkan BesdokMehmet Akif GunenUmit Haluk AtaseverPublished in: Neural Comput. Appl. (2020)
Keyphrases
- differential evolution
- function optimization
- artificial bee colony
- differential evolution algorithm
- evolutionary algorithm
- mutation operator
- optimization algorithm
- evolution strategy
- optimization problems
- crossover operator
- optimization method
- convergence speed
- hybrid algorithm
- crossover rate
- genetic algorithm
- particle swarm optimization
- learning algorithm
- computational complexity
- multi objective optimization
- premature convergence
- control parameters
- neural network
- particle swarm optimization pso
- initial population
- simulated annealing
- combinatorial optimization
- optimization methods
- swarm intelligence
- genetic programming
- particle swarm
- evolutionary computation
- fuzzy logic
- parameter settings
- benchmark problems