Zhun Fan, Ph.D.
Affiliations: | 2004 | Michigan State University, East Lansing, MI |
Area:
Electronics and Electrical Engineering, Mechanical Engineering, Computer ScienceGoogle:
"Zhun Fan"Parents
Sign in to add mentor| Erik D. Goodman | grad student | 2004 | Michigan State | |
| (Design automation of mechatronic systems using evolutionary computation and bond graph.) | ||||
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Publications
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| Xie Y, Raj ANJ, Hu Z, et al. (2020) A Twofold Lookup Table Architecture for Efficient Approximation of Activation Functions Ieee Transactions On Very Large Scale Integration Systems. 1-11 |
| Fan Z, Wang Z, Li W, et al. (2020) Push and pull search embedded in an M2M framework for solving constrained multi-objective optimization problems Swarm and Evolutionary Computation. 54: 100651 |
| Li Y, Wei W, Gao Y, et al. (2020) PQ-RRT*: An improved path planning algorithm for mobile robots Expert Systems With Applications. 152: 113425 |
| Cai X, Sun W, Misir M, et al. (2019) A Bi-Objective Constrained Robust Gate Assignment Problem: Formulation, Instances and Algorithm. Ieee Transactions On Cybernetics |
| Fan Z, Li W, Cai X, et al. (2019) Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit. Evolutionary Computation. 1-28 |
| Fan Z, You Y, Cai X, et al. (2019) Analysis and multi-objective optimization of a kind of teaching manipulator Swarm and Evolutionary Computation. 50: 100554 |
| Cai X, Hu M, Gong D, et al. (2019) A decomposition-based coevolutionary multiobjective local search for combinatorial multiobjective optimization Swarm and Evolutionary Computation. 49: 178-193 |
| Fan Z, Li W, Cai X, et al. (2019) Push and pull search for solving constrained multi-objective optimization problems Swarm and Evolutionary Computation. 44: 665-679 |
| Yun L, Li W, Garg A, et al. (2019) Maximization of extraction of Cadmium and Zinc during recycling of spent battery mix: An application of combined genetic programming and simulated annealing approach Journal of Cleaner Production. 218: 130-140 |
| Fan Z, Fang Y, Li W, et al. (2019) MOEA/D with angle-based constrained dominance principle for constrained multi-objective optimization problems Applied Soft Computing. 74: 621-633 |