| Measuring the curse of dimensionality and its effects on particle swarm optimization and differential evolution S Chen, J Montgomery, A Bolufé-Röhler Applied Intelligence 42 (3), 514-526, 2015 | 154 | 2015 |
| Commonality and genetic algorithms S Chen, S Smith Robotics Institute, Carnegie Mellon Univ., Pittsburgh, PA, Tech. Rep. CMU-RI …, 1996 | 76* | 1996 |
| Fast and accurate feature selection using hybrid genetic strategies C Guerra-Salcedo, S Chen, D Whitley, S Smith IEEE Congress on Evolutionary Computation, 1999, 1999 | 74 | 1999 |
| An analysis of the operation of differential evolution at high and low crossover rates J Montgomery, S Chen IEEE Congress on Evolutionary Computation, 2010, 881-888, 2010 | 70 | 2010 |
| Locust Swarms-A new multi-optima search technique S Chen IEEE Congress on Evolutionary Computation, 2009, 1745-1752, 2009 | 65 | 2009 |
| Iconic programming for flowcharts, java, turing, etc S Chen, S Morris ACM SIGCSE Bulletin 37 (3), 104-107, 2005 | 41 | 2005 |
| Improving genetic algorithms by search space reductions (with applications to flow shop scheduling) S Chen, S Smith GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference, 1999 | 40 | 1999 |
| Leaders and followers–A new metaheuristic to avoid the bias of accumulated information Y Gonzalez-Fernandez, S Chen IEEE Congress on Evolutionary Computation, 2015, 776-783, 2015 | 36 | 2015 |
| An analysis of sub-swarms in multi-swarm systems AB Röhler, S Chen Australasian Joint Conference on Artificial Intelligence, 271-280, 2011 | 35 | 2011 |
| Job-shop-scheduling by a team of asynchronous agents SY Chen, SN Talukdar, NM Sadeh IJCAI-93 Workshop on Knowledge-Based Production, Scheduling and Control, 1993 | 33 | 1993 |
| A simple strategy to maintain diversity and reduce crowding in particle swarm optimization S Chen, J Montgomery AI 2011: Advances in artificial intelligence: Proceedings of the 24th …, 2011 | 29 | 2011 |
| Particle swarm optimization with thresheld convergence S Chen, J Montgomery IEEE Congress on Evolutionary Computation, 2013, 510 - 516, 2013 | 28 | 2013 |
| Multi-swarm hybrid for multi-modal optimization AB Röhler, S Chen IEEE Congress on Evolutionary Computation, 2012, 1759-1766, 2012 | 28 | 2012 |
| Selection strategies for initial positions and initial velocities in multi-optima particle swarms S Chen, J Montgomery GECCO-11: Proceedings of the Genetic and Evolutionary Computation Conference …, 2011 | 27 | 2011 |
| Differential evolution with thresheld convergence A Bolufé-Röhler, S Estévez-Velarde, A Piad-Morffis, S Chen, ... IEEE Congress on Evolutionary Computation, 2013, 40-47, 2013 | 25 | 2013 |
| Micro-differential evolution with vectorized random mutation factor H Salehinejad, S Rahnamayan, HR Tizhoosh, SY Chen IEEE Congress on Evolutionary Computation, 2014, 2055-2062, 2014 | 24 | 2014 |
| An analysis on the effect of selection on exploration in particle swarm optimization and differential evolution S Chen, A Bolufé-Röhler, J Montgomery, T Hendtlass 2019 IEEE Congress on Evolutionary Computation (CEC), 3037-3044, 2019 | 23 | 2019 |
| Minimum Population Search–Lessons from building a heuristic technique with two population members A Bolufé-Röhler, S Chen IEEE Congress on Evolutionary Computation, 2013, 2061 - 2068, 2013 | 23 | 2013 |
| Particle Swarm Optimization with pbest Crossover S Chen IEEE Congress on Evolutionary Computation, 2012, 1234-1239, 2012 | 23 | 2012 |
| Putting the 'Genetics' back into Genetic Algorithms (Reconsidering the Role of Crossover in Hybrid Operators) S Chen, SF Smith Foundations of Genetic Algorithms 5, 1999 | 23* | 1999 |
Antonio Bolufé-RöhlerAssistant Professor in Computer Science, University of Prince Edward IslandVerified email at upei.ca
