Convergence analysis on a class of quantum-inspired evolutionary algorithms.
Shengqiu YiMing ChenZhigao ZengPublished in: ICNC (2011)
Keyphrases
- convergence analysis
- evolutionary algorithm
- quantum inspired
- mutation operator
- optimization problems
- evolutionary computation
- multi objective
- binary gravitational search algorithm
- global convergence
- quantum computing
- fitness function
- multi objective optimization
- simulated annealing
- neural network
- convergence rate
- differential evolution
- optimality conditions
- genetic programming
- immune clonal
- finite number
- evolution strategy
- particle swarm
- particle swarm optimization
- lower bound