YAO Xin, Prof.

Computer Science

1. Algorithms 100%
2. Optimization Problem 90%
3. Evolutionary Algorithms 90%
4. Multiobjective 50%
5. Models 39%
6. Evolutionary Programming 30%
7. Dynamic Optimization 30%
8. Negative Correlation 28%
9. Experimental Result 28%
10. Classes 27%
11. multi-objective evolutionary algorithm 26%
12. Multi-Objective Optimization 24%
13. Vehicle Routing 23%
14. Evolutionary Algorithm 21%
15. Evolutionary Computation 21%
16. Problem Instance 20%
17. Evolution Strategy 20%
18. Application 19%
19. Design 19%
20. Genetic Programming 18%
21. Routing Problem 18%
22. Benchmark Problem 17%
23. Machine Learning 17%
24. Ensemble Learning 17%
25. Genetic Algorithm 17%
26. Experimental Result 17%
27. Functions 17%
28. evolutionary optimization 16%
29. Evolutionary Approach 16%
30. Search Space 16%
31. Real World 16%
32. Mathematical Optimization 16%
33. Differential Evolution 14%
34. Memetic Algorithm 14%
35. Many-Objective Optimization 14%
36. Artificial Neural Network 13%
37. Survey 12%
38. evolutionary multiobjective optimization 12%
39. Time Complexity 12%
40. Online Learning 12%
41. Robust Optimization 12%
42. Accuracy 12%
43. Estimation of Distribution Algorithms 11%
44. Computing 11%
45. Data Stream 11%
46. Benchmark 11%
47. Fitness Landscape 11%
48. Approximation (Algorithm) 10%
49. Relationships 10%
50. Heuristics 10%