Perturbation Theory for Evolutionary Algorithms: Towards an Estimation of Convergence Speed.
Yann Landrin-SchweitzerEvelyne LuttonPublished in: PPSN (2000)
Keyphrases
- convergence speed
- differential evolution
- evolutionary algorithm
- perturbation theory
- population diversity
- multi objective
- mutation operator
- particle swarm optimization
- evolutionary computation
- particle swarm optimization algorithm
- optimization algorithm
- step size
- global search
- optimization problems
- simulated annealing
- premature convergence
- genetic programming
- genetic algorithm
- multi objective optimization
- evolution strategy
- convergence rate
- particle swarm optimization pso
- global convergence
- firefly algorithm
- fitness function
- search capabilities
- crossover operator
- learning rate
- faster convergence
- particle swarm
- steady state error
- evolutionary strategy
- steepest descent method
- improve the convergence speed