MOEAD
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Zhang, Qingfu, and Hui Li. "MOEA/D: A multiobjective evolutionary algorithm based on decomposition." Evolutionary Computation, IEEE Transactions on 11.6 (2007): 712-731.
MOEAD
- 1. MOEA/D Qingfu Zhang and Hui Li
- 6. Background 2 ~ weighted approach
- 7. Background 2 ~ weighted approach I am not sure how then generate these contours!
- 8. Background 3 ~ core concept neighborhood - defined based on the distances solutions to two neighboring subproblems should be very similar subproblem is optimized in MOEA/D by using its neighboring subproblems
- 11. Initialization Randomly generated points Starts out as 1e30
- 12. Initialization Randomly generated points Randomly assigned weights Starts out as 1e30
- 13. Initialization Randomly generated points Randomly assigned weights Starts out as 1e30
- 14. Initialization Randomly generated points Randomly assigned weights Starts out as 1e30 Use only weights
- 15. Initialization Randomly generated points Randomly assigned weights Starts out as 1e30 Use only weights Use the distance matrix to find T neighbors
- 16. Main Loop
- 17. Main Loop
- 18. Main Loop
- 19. Main Loop