| A survey of parallel genetic algorithms E Cantú-Paz Calculateurs paralleles, reseaux et systems repartis 10 (2), 141-171, 1998 | 1654 | 1998 |
| Efficient and accurate parallel genetic algorithms E Cantu-Paz Springer Science & Business Media, 2000 | 1371 | 2000 |
| The gambler's ruin problem, genetic algorithms, and the sizing of populations G Harik, E Cantú-Paz, DE Goldberg, BL Miller Evolutionary computation 7 (3), 231-253, 1999 | 674 | 1999 |
| A summary of research on parallel genetic algorithms E Cantú-Paz IlliGAL Report, University of Illinois, 1997 | 457 | 1997 |
| Linkage problem, distribution estimation, and Bayesian networks M Pelikan, DE Goldberg, E Cantu-Paz Evolutionary computation 8 (3), 311-340, 2000 | 451 | 2000 |
| Migration policies, selection pressure, and parallel evolutionary algorithms E Cantú-Paz Journal of heuristics 7, 311-334, 2001 | 278 | 2001 |
| Efficient parallel genetic algorithms: theory and practice E Cantu-Paz, DE Goldberg Computer methods in applied mechanics and engineering 186 (2-4), 221-238, 2000 | 262 | 2000 |
| Scalable optimization via probabilistic modeling: From algorithms to applications M Pelikan, K Sastry, E Cantú-Paz Springer, 2007 | 249 | 2007 |
| Inducing oblique decision trees with evolutionary algorithms E Cantú-Paz, C Kamath IEEE Transactions on Evolutionary Computation 7 (1), 54-68, 2003 | 226 | 2003 |
| An empirical comparison of combinations of evolutionary algorithms and neural networks for classification problems E Cantú-Paz, C Kamath IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 35 …, 2005 | 211 | 2005 |
| Topologies, migration rates, and multi-population parallel genetic algorithms E Cantú-Paz Proceedings of the 1st Annual Conference on Genetic and Evolutionary …, 1999 | 177 | 1999 |
| Personalized click prediction in sponsored search H Cheng, E Cantú-Paz Proceedings of the third ACM international conference on Web search and data …, 2010 | 174 | 2010 |
| Parallel object-oriented data mining system C Kamath, E Cantu-Paz US Patent 6,675,164, 2004 | 163 | 2004 |
| Designing efficient master-slave parallel genetic algorithms E Cantú-Paz IlliGAL Technical Report, 1997 | 155 | 1997 |
| Hierarchical Problem Solving and the Bayesian Optimization Algorithm. M Pelikan, DE Goldberg, E Cantú-Paz GECCO, 267-274, 2000 | 146 | 2000 |
| Bayesian optimization algorithm, population sizing, and time to convergence M Pelikan, DE Goldberg, E Cantú-Paz Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2000 | 144 | 2000 |
| Feature selection in scientific applications E Cantú-Paz, S Newsam, C Kamath Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004 | 132 | 2004 |
| Feature subset selection, class separability, and genetic algorithms E Cantu-Paz Genetic and evolutionary computation conference, 959-970, 2004 | 131 | 2004 |
| Designing efficient and accurate parallel genetic algorithms E Cantú-Paz University of Illinois at Urbana-Champaign, 1999 | 120 | 1999 |
| On the scalability of parallel genetic algorithms E Cantu-Paz, DE Goldberg Evolutionary computation 7 (4), 429-449, 1999 | 104 | 1999 |
