A Hybrid Algorithm Based on Bat-Inspired Algorithm and Differential Evolution for Constrained Optimization Problems.
Shengyu PeiAijia OuyangLang TongPublished in: Int. J. Pattern Recognit. Artif. Intell. (2015)
Keyphrases
- differential evolution
- hybrid algorithm
- constrained optimization problems
- optimization algorithm
- particle swarm optimization
- differential evolution algorithm
- evolutionary algorithm
- premature convergence
- optimization method
- test functions
- particle swarm optimization pso
- constraint handling
- biogeography based optimization
- convergence speed
- simulated annealing
- genetic algorithm
- numerical optimization problems
- global optimization problems
- initial population
- hybrid optimization algorithm
- standard test problems
- mutation operator
- global convergence
- optimal solution
- constrained optimization
- particle swarm
- evolution strategy
- harmony search
- multi objective optimization
- evolutionary strategy
- imperialist competitive algorithm
- objective function
- optimization problems
- global optimization
- np hard
- linear programming
- artificial bee colony
- evolutionary programming
- pso algorithm
- parameter optimization
- knapsack problem
- crossover operator
- ant colony optimization
- tabu search
- benchmark problems
- optimization methods
- search space
- computational complexity
- global optimum