A mutation operator for evolution strategies to handle constrained problems.
Oliver KramerChuan-Kang TingHans Kleine BüningPublished in: GECCO (2005)
Keyphrases
- evolution strategy
- mutation operator
- constrained problems
- evolutionary algorithm
- differential evolution
- optimization problems
- evolutionary programming
- genetic algorithm
- genetic operators
- premature convergence
- crossover operator
- multi objective
- constraint satisfaction
- optimization algorithm
- constraint propagation
- evolutionary computation
- fitness function
- multi objective optimization
- particle swarm optimization
- convergence speed
- nsga ii
- simulated annealing
- optimization method
- metaheuristic
- knapsack problem
- particle swarm optimization pso
- genetic programming
- optimization methods
- benchmark problems
- traveling salesman problem
- artificial neural networks
- neural network
- test problems
- special case
- particle swarm
- upper bound