Stopping rules for a random optimization method

Variable-sample methods for stochastic optimization

ACM Transactions on Modeling and Computer Simulation (TOMACS)

Annealing evolutionary stochastic approximation Monte Carlo for global optimization

Statistics and Computing

Random perturbation of the projected variable metric method for nonsmooth nonconvex optimization problems with linear constraints

International Journal of Applied Mathematics and Computer Science - SPECIAL SECTION: Efficient Resource Management for Grid-Enabled Applications

Effective probabilistic stopping rules for randomized metaheuristics: GRASP implementations

LION'05 Proceedings of the 5th international conference on Learning and Intelligent Optimization

CARTopt: a random search method for nonsmooth unconstrained optimization

Computational Optimization and Applications