An ensemble of differential evolution algorithms with variable neighborhood search for constrained function optimization.
Mert PaldrakMehmet Fatih TasgetirenPonnuthurai N. SuganthanQuan-Ke PanPublished in: CEC (2016)
Keyphrases
- differential evolution
- function optimization
- function optimization problems
- evolutionary algorithm
- mutation operator
- genetic algorithm
- optimization problems
- hybrid algorithm
- multi objective
- differential evolution algorithm
- multi objective optimization
- optimization algorithm
- learning algorithm
- convergence speed
- particle swarm optimization
- tabu search
- metaheuristic
- bayesian learning
- genetic programming
- neural network
- variable neighborhood search
- minimum spanning tree
- decision trees
- particle swarm optimization pso
- benchmark problems
- convergence rate
- optimization method
- reinforcement learning
- computational efficiency
- machine learning algorithms
- worst case