| Issue |
MATEC Web Conf.
Volume 139, 2017
2017 3rd International Conference on Mechanical, Electronic and Information Technology Engineering (ICMITE 2017)
|
|
|---|---|---|
| Article Number | 00225 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/matecconf/201713900225 | |
| Published online | 05 December 2017 | |
Design of New Test Function Model Based on Multi-objective Optimization Method
1 Shandong Product Quality Inspection Research Institute, Jinan 250102, Shandong, China.
2 Shandong Institute of medicine and health information, Jinan 250062, Shandong, China.
* Corresponding author: gogogo255@163.com
Space partitioning method, as a new algorism, has been applied to planning and decision-making of investment portfolio more and more often. But currently there are so few testing function for this algorism, which has greatly restrained its further development and application. An innovative test function model is designed in this paper and is used to test the algorism. It is proved that for evaluation of space partitioning method in certain applications, this test function has fairly obvious advantage.
Key words: Multiple-objective optimization / test function / investment portfolio / model design / space partitioning method
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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