Convergence Rates of Evolutionary Algorithms for Quadratic Convex Functions with Rank-Deficient Hessian.
Günter RudolphPublished in: ICANNGA (2013)
Keyphrases
- convex functions
- convergence rate
- evolutionary algorithm
- primal dual
- step size
- convergence speed
- multi objective
- optimization problems
- mutation operator
- linear program
- learning rate
- objective function
- differential evolution
- multi objective optimization
- exact penalty
- quasiconvex
- global convergence
- piecewise linear
- convex sets
- dc programming
- simulated annealing
- global optimum
- convex optimization
- fitness function
- linear programming
- genetic algorithm
- constrained optimization problems
- stopping criterion
- duality gap
- crossover operator
- nsga ii
- gaussian kernels