Evolutionary Many-objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation
View Dr. Ran Cheng's Other Codes* RVEA embedded with preference articulation
* The preference vectors are generated using code from Line 14 – 41
* File center_f.mat records the central preference vector(s) (can be more than one now)
* File center_x.mat records the decision vectors of the solutions used to define central preference vectors, which will be used in the initial population to make convergence faster
* Before running the code, please DO enable ‘% load(‘center_x.mat’); % load central solutions into init_mat’ and ‘%Population = [Population; init_mat];’ in each MAIN.m file
For Supplementary Materials, please visit:
https://www.cs.bham.ac.uk/~chengr/Supplementary/HEV.pdf
Authors | Ran Cheng, Tobias Rodemann, Michael Fischer, Markus Olhofer, and Yaochu Jin |
Journal/Conference Name | IEEE Transactions on Emerging Topics in Computational Intelligence |
Paper Category | Computer Science |
Paper Abstract | |
Date of publication | 2017 |
Code Programming Language | MATLAB |
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