| The balance between proximity and diversity in multiobjective evolutionary algorithms PAN Bosman, D Thierens IEEE transactions on evolutionary computation 7 (2), 174-188, 2003 | 1071 | 2003 |
| Mixing in genetic algorithms D Thierens, DE Goldberg Proceedings of the 5th International Conference on Genetic Algorithms, 38-47, 1993 | 364 | 1993 |
| Convergence models of genetic algorithm selection schemes D Thierens, D Goldberg International conference on parallel problem solving from nature, 119-129, 1994 | 295 | 1994 |
| An adaptive pursuit strategy for allocating operator probabilities D Thierens Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005 | 267 | 2005 |
| Toward a better understanding of mixing in genetic algorithms DE Goldberg, K Deb, D Thierens Journal of the Society of Instrument and Control Engineers 32 (1), 10-16, 1993 | 241 | 1993 |
| Elitist recombination: An integrated selection recombination GA D Thierens, D Goldberg Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE …, 1994 | 223 | 1994 |
| Adaptive mutation rate control schemes in genetic algorithms D Thierens Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002 | 222 | 2002 |
| Expanding from discrete to continuous estimation of distribution algorithms: The ID A PAN Bosman, D Thierens International Conference on Parallel Problem Solving from Nature, 767-776, 2000 | 191 | 2000 |
| Scalability problems of simple genetic algorithms D Thierens Evolutionary computation 7 (4), 331-352, 1999 | 191 | 1999 |
| Domino convergence, drift, and the temporal-salience structure of problems D Thierens, DE Goldberg, AG Pereira 1998 IEEE International Conference on Evolutionary Computation Proceedings …, 1998 | 186 | 1998 |
| Analysis and design of genetic algorithms D Thierens Doctoral dissertation, Katholieke Universiteit Leuven, Leuven, Belgium, 1995 | 151 | 1995 |
| Optimal mixing evolutionary algorithms D Thierens, PAN Bosman Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011 | 145 | 2011 |
| Continuous iterated density estimation evolutionary algorithms within the IDEA framework PAN Bosman, D Thierens Univ., 2000 | 136 | 2000 |
| The linkage tree genetic algorithm D Thierens International Conference on Parallel Problem Solving from Nature, 264-273, 2010 | 125 | 2010 |
| Multi-objective optimization with diversity preserving mixture-based iterated density estimation evolutionary algorithms PAN Bosman, D Thierens International Journal of Approximate Reasoning 31 (3), 259-289, 2002 | 124 | 2002 |
| Linkage information processing in distribution estimation algorithms PAN Bosman, D Thierens Utrecht University: Information and Computing Sciences, 1999 | 114 | 1999 |
| Adaptive strategies for operator allocation D Thierens Parameter setting in evolutionary algorithms, 77-90, 2007 | 97 | 2007 |
| Selection schemes, elitist recombination, and selection intensity D Thierens Utrecht University: Information and Computing Sciences, 1998 | 91 | 1998 |
| Enhancing the performance of maximum–likelihood Gaussian EDAs using anticipated mean shift PAN Bosman, J Grahl, D Thierens International Conference on Parallel Problem Solving from Nature, 133-143, 2008 | 85 | 2008 |
| Genetic weight optimization of a feedforward neural network controller D Thierens, J Suykens, J Vandewalle, B De Moor Artificial Neural Nets and Genetic Algorithms: Proceedings of the …, 1993 | 81 | 1993 |
Peter A.N. BosmanCentrum Wiskunde & Informatica (CWI)Verified email at cwi.nl
