| The balance between proximity and diversity in multiobjective evolutionary algorithms PAN Bosman, D Thierens IEEE transactions on evolutionary computation 7 (2), 174-188, 2003 | 1139 | 2003 |
| 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 | 190 | 2000 |
| Optimal mixing evolutionary algorithms D Thierens, PAN Bosman Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011 | 153 | 2011 |
| Continuous iterated density estimation evolutionary algorithms within the IDEA framework PAN Bosman, D Thierens Univ., 2000 | 136 | 2000 |
| Improving model-based genetic programming for symbolic regression of small expressions M Virgolin, T Alderliesten, C Witteveen, PAN Bosman Evolutionary computation 29 (2), 211-237, 2021 | 127 | 2021 |
| On gradients and hybrid evolutionary algorithms for real-valued multiobjective optimization PAN Bosman IEEE Transactions on Evolutionary Computation 16 (1), 51-69, 2011 | 125 | 2011 |
| 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 | 122 | 2002 |
| Wake losses optimization of offshore wind farms with moveable floating wind turbines SF Rodrigues, RT Pinto, M Soleimanzadeh, PAN Bosman, P Bauer Energy conversion and management 89, 933-941, 2015 | 121 | 2015 |
| Linkage information processing in distribution estimation algorithms PAN Bosman, D Thierens Utrecht University: Information and Computing Sciences, 1999 | 115 | 1999 |
| Exploiting gradient information in numerical multi--objective evolutionary optimization PAN Bosman, ED de Jong Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005 | 99 | 2005 |
| Learning, anticipation and time-deception in evolutionary online dynamic optimization PAN Bosman Proceedings of the 7th annual workshop on Genetic and evolutionary …, 2005 | 94 | 2005 |
| Multi-objective optimization of wind farm layouts–Complexity, constraint handling and scalability S Rodrigues, P Bauer, PAN Bosman Renewable and Sustainable Energy Reviews 65, 587-609, 2016 | 92 | 2016 |
| Agent-based patient admission scheduling in hospitals AK Hutzschenreuter, PAN Bosman, I Blonk-Altena, J van Aarle, ... Proceedings of the 7th international joint conference on Autonomous agents …, 2008 | 92 | 2008 |
| The correlation-triggered adaptive variance scaling IDEA J Grahl, PAN Bosman, F Rothlauf Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006 | 88 | 2006 |
| 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 | 87 | 2008 |
| Design and application of iterated density-estimation evolutionary algorithms PAN Bosman Ph. D. Dissertation, Utrecht University, 2003 | 86 | 2003 |
| The Naive ID A: A Baseline Multi–objective EA PAN Bosman, D Thierens International Conference on Evolutionary Multi-Criterion Optimization, 428-442, 2005 | 76 | 2005 |
| Linear scaling with and within semantic backpropagation-based genetic programming for symbolic regression M Virgolin, T Alderliesten, PAN Bosman Proceedings of the genetic and evolutionary computation conference, 1084-1092, 2019 | 73 | 2019 |
| An algorithmic framework for density estimation based evolutionary algorithms PAN Bosman, D Thierens Univ., 1999 | 73 | 1999 |
| A multi-objective optimization framework for offshore wind farm layouts and electric infrastructures S Rodrigues, C Restrepo, G Katsouris, R Teixeira Pinto, ... Energies 9 (3), 216, 2016 | 72 | 2016 |
Tanja AlderliestenLeiden University Medical Center (LUMC)ایمیل تأیید شده در lumc.nl