SCGSA: A sine chaotic gravitational search algorithm for continuous optimization problems.
Jianhua JiangRan JiangXianqiu MengKeqin LiPublished in: Expert Syst. Appl. (2020)
Keyphrases
- gravitational search algorithm
- continuous optimization problems
- optimization methods
- optimization problems
- multi objective
- stability analysis
- continuous optimization
- swarm intelligence
- parameter identification
- combinatorial optimization problems
- evolutionary algorithm
- convergence rate
- multi objective optimization problems
- ant colony optimization
- test functions
- chaotic systems
- test problems
- metaheuristic
- objective function
- optimization method
- particle swarm optimization
- optimization algorithm
- cost function
- nsga ii
- closed loop
- benchmark problems
- evolutionary computation
- genetic algorithm
- learning rate
- fuzzy model
- knapsack problem
- pso algorithm
- mutation operator
- neural network
- particle swarm optimization pso
- traveling salesman problem
- differential evolution
- simulated annealing
- search space