B.E. degree (2008) in Automation, University of Science and Technology Beijing (USTB), Beijing, China;
M.S. degree (2011) in Electrical Engineering, Oklahoma State University, Stillwater, Oklahoma, USA;
Ph.D. degree (2014) in Electrical Engineering, Oklahoma State University, Stillwater, Oklahoma, USA;
Work
Associate Professor at Sichuan University, Chengdu, China 2016.1-present
Automation Engineer at Energy New Technologies International, Houston, USA 2015.1-2015.12
Research Interests
Machine Intelligence
Evolutionary Computation
Robust Optimization
Many-Objective Optimization
Selected Publications
Journal
[1] Zhenan He, Gary G. Yen and Jun Zhang, “Fuzzy-Based Pareto Optimality for Many-Objective Evolutionary Algorithms,” IEEE Transactions on Evolutionary Computation, vol.18, no.2, pp.269-285, 2014.
[2] Zhenan He and Gary G. Yen, “Many-Objective Evolutionary Algorithm: Objective Space Reduction + Diversity Improvement,” IEEE Transactions on Evolutionary Computation, vol.20, no.1, pp.145-160, 2016.
[3] Zhenan He and Gary G. Yen, “Visualization and Performance Metric in Many-Objective Optimization” IEEE Transactions on Evolutionary Computation, vol.20, no.3, pp.386-402, 2016.
[4] Zhenan He and Gary G. Yen, “Many-Objective Evolutionary Algorithms Based on Coordinated Selection Strategy,” IEEE Transactions on Evolutionary Computation, early access, 2016. DOI: 10.1109/TEVC.2016.2598687.
[5] Gary G. Yen and Zhenan He, “Performance Metrics Ensemble for Multiobjective Evolutionary Algorithms,” IEEE Transactions on Evolutionary Computation, vol.18, no.1, pp.131-144, 2014.
[6] Zhenan He and Gary G. Yen, “Comparison of Many-Objective Evolutionary Algorithms Using Performance Metrics Ensemble,” Advances in Engineering Software, vol. 76, pp. 1-8, 2014.
Conference
[1] Zhenan He and Gary Yen, “An Ensemble Method for Performance Metrics in Multiobjective Evolutionary Algorithms,” 2011 IEEE Congress on Evolutionary Computation, June 5-8, 2011, New Orleans, Louisiana
[2] Zhenan He and Gary Yen, “A New Fitness Evaluation Method Based on Fuzzy Logic in Multiobjective Evolutionary Algorithms,” 2012 IEEE Congress on Evolutionary Computation, June 10-15, 2012, Brisbane, Australia
[3] Zhenan He and Gary Yen, “Ranking Many-Objective Evolutionary Algorithms Using Performance Metrics Ensemble,” 2013 IEEE Congress on Evolutionary Computation, June 16-20, 2013, Cancun, Mexico
[4] Zhenan He and Gary Yen, “Diversity Improvement in Decomposition-Based Multi-Objective Evolutionary Algorithm for Many-Objective Optimization Problems,” 2014 IEEE International Conference on Systems, Man, and Cybernetics, October 5-8, 2014, San Diego, California
[5] Zhenan He and Gary Yen, “An Improved Visualization Approach in Many-Objective Optimization,” 2016 IEEE Congress on Evolutionary Computation, July 24-29, 2016, Vancouver, Canada
Professional Service
Journal paper review
[1] IEEE Transactions on Evolutionary Computations 2010-present
[2] IEEE Transactions on Cybernetics 2014-present
Conference paper review
[1] IEEE Congress on Evolutionary Computations 2012-2014
[2] International Conference on Parallel Problem Solving from Nature 2014
