| 155 | -- | 156 | Pedro Larrañaga, José Antonio Lozano. Synergies between evolutionary computation and probabilistic graphical models |
| 157 | -- | 192 | Heinz Mühlenbein, Thilo Mahnig. Evolutionary optimization and the estimation of search distributions with applications to graph bipartitioning |
| 193 | -- | 220 | Shumeet Baluja. Using a priori knowledge to create probabilistic models for optimization |
| 221 | -- | 258 | Martin Pelikan, Kumara Sastry, David E. Goldberg. Scalability of the Bayesian optimization algorithm |
| 259 | -- | 289 | Peter A. N. Bosman, Dirk Thierens. Multi-objective optimization with diversity preserving mixture-based iterated density estimation evolutionary algorithms |
| 291 | -- | 311 | Luis M. de Campos, Juan M. Fernández-Luna, José A. Gámez, Jose Miguel Puerta. Ant colony optimization for learning Bayesian networks |
| 313 | -- | 340 | C. González, José Antonio Lozano, Pedro Larrañaga. Mathematical modelling of UMDA::c:: algorithm with tournament selection. Behaviour on linear and quadratic functions |