An Efficient Hybrid Optimization Approach Using Adaptive Elitist Differential Evolution and Spherical Quadratic Steepest Descent and Its Application for Clustering.
Thao Nguyen-TrangTrung Nguyen-ThoiT. Truong-KhacA. T. Pham-ChauHungLinh AoPublished in: Sci. Program. (2019)
Keyphrases
- differential evolution
- evolution strategy
- evolutionary algorithm
- optimization algorithm
- optimization method
- mutation operator
- optimization problems
- parameter optimization
- global optimization problems
- multi objective
- real coded
- differential evolution algorithm
- convergence speed
- test functions
- particle swarm optimization
- particle swarm optimization pso
- evolutionary strategy
- function optimization
- direct search
- premature convergence
- harmony search
- multi objective evolutionary algorithms
- multi objective optimization
- nsga ii
- particle swarm
- evolutionary computation
- genetic algorithm
- constrained optimization problems
- optimization process
- k means
- clustering algorithm
- numerical optimization problems
- fitness function
- numerical optimization
- optimization methods
- global optimization
- genetic programming
- multi objective genetic algorithm
- learning rate
- hybrid algorithm
- crossover operator
- simulated annealing
- artificial bee colony
- power flow
- candidate solutions
- crossover rate
- multiple objectives
- function optimization problems
- linear programming
- objective function
- solving global optimization problems