A cooperative approach for combining particle swarm optimization and differential evolution algorithms to solve single-objective optimization problems.
Marziyeh DadvarHamidreza NavidiHamid Haj Seyyed JavadiMitra MirzarezaeePublished in: Appl. Intell. (2022)
Keyphrases
- differential evolution
- particle swarm optimization
- optimization problems
- evolutionary algorithm
- test functions
- hybrid algorithm
- optimization method
- global optimization problems
- particle swarm optimization pso
- differential evolution algorithm
- convergence speed
- optimization algorithm
- constrained optimization problems
- multi objective problems
- evolution strategy
- multi objective
- artificial bee colony
- pso algorithm
- optimization methods
- mutation operator
- global optimization
- genetic algorithm
- cost function
- opposition based learning
- metaheuristic
- numerical optimization
- evolutionary strategy
- numerical optimization problems
- particle swarm optimization algorithm
- particle swarm
- ant colony optimization
- evolutionary programming
- parameter optimization
- swarm intelligence
- evolutionary computation
- fitness function
- combinatorial optimization
- premature convergence
- global search
- nsga ii
- benchmark problems