| Autor: |
Li, Fei, Shang, Zhengkun, Shen, Hao, Liu, Yuanqu, Huang, Pei-Qiu |
| Předmět: |
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| Zdroj: |
Applied Intelligence; May2023, Vol. 53 Issue 10, p12149-12162, 14p |
| Abstrakt: |
The modified inverted generational distance (IGD+) indicator has been widely used to handle optimization problems with two or three objectives due to its ability to obtain weak Pareto optimal solutions. However, only using the IGD+ indicator cannot effectively balance the convergence and diversity of candidate solutions in the high-dimensional objective space of many-objective optimization problems (MaOPs). To solve this issue, we propose a two-stage selection strategy based on the IGD+ indicator and the reference vector guidance method. This two-stage selection mechanism uses the IGD+ indicator and the reference vector guidance method to select two sub-populations, which form the parent population at the next generation. In this way, it can balance convergence and diversity well when solving MaOPs. Experiments were performed on 65 test problems. The proposed algorithm achieved the best HV value 39 times, showing competitive performance compared to five representative algorithms for many-objective optimization. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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