Parallel differential evolution with self-adapting control parameters and generalized opposition-based learning for solving high-dimensional optimization problems.
Hui WangShahryar RahnamayanZhijian WuPublished in: J. Parallel Distributed Comput. (2013)
Keyphrases
- differential evolution
- opposition based learning
- differential evolution algorithm
- control parameters
- evolutionary algorithm
- optimization problems
- initial population
- optimization algorithm
- multi objective
- combinatorial optimization
- convergence speed
- constrained optimization problems
- particle swarm optimization
- biogeography based optimization
- optimization method
- metaheuristic
- particle swarm optimization pso
- artificial bee colony
- evolutionary computation
- premature convergence
- optimization methods
- genetic algorithm
- multi objective optimization
- simulated annealing
- nsga ii
- pid controller
- crossover operator
- mutation operator
- evolution strategy
- hybrid algorithm
- particle swarm
- traveling salesman problem
- genetic programming
- neural network
- knapsack problem
- multi objective genetic algorithm
- cost function
- genetic operators
- objective function
- multi objective evolutionary algorithms
- fitness function
- learning rate