A dual opposition-based learning for differential evolution with protective mechanism for engineering optimization problems.
Jiahang LiYuelin GaoKaiguang WangYing SunPublished in: Appl. Soft Comput. (2021)
Keyphrases
- differential evolution
- opposition based learning
- evolutionary algorithm
- optimization problems
- initial population
- differential evolution algorithm
- multi objective
- constrained optimization problems
- test functions
- particle swarm optimization
- convergence speed
- mutation operator
- optimization method
- metaheuristic
- biogeography based optimization
- evolutionary computation
- genetic algorithm
- simulated annealing
- multi objective genetic algorithm
- optimization algorithm
- particle swarm optimization pso
- multi objective optimization
- genetic programming
- evolution strategy
- fitness function
- parameter optimization
- optimization methods
- premature convergence
- particle swarm
- test problems
- hybrid algorithm
- knapsack problem
- genetic operators
- benchmark problems
- nsga ii
- evolutionary strategy
- traveling salesman problem
- function optimization
- combinatorial optimization
- global search
- population diversity
- computational intelligence
- continuous optimization problems
- cost function
- search algorithm