A Novel Artificial Fish Swarm Algorithm Based on Multi-objective Optimization

Author(s):  
Yi-Kui Zhai ◽  
Ying Xu ◽  
Jun-Ying Gan
2019 ◽  
Vol 13 (1) ◽  
pp. 9-19
Author(s):  
Shiyu Jia ◽  
Kang Zhou ◽  
Sisi Zhou ◽  
Haocheng Fang ◽  
Yiting Zhen ◽  
...  

2014 ◽  
Vol 494-495 ◽  
pp. 1735-1738
Author(s):  
Xin Yi ◽  
Li Xin Ma ◽  
Wen Fei Cai ◽  
Jin Sun

According to the problem that traditional single objective network planning cant meet the demand of complex gird and key supply mission, using improved artificial fish swarm algorithm (AFSA) for multi-objective grid planning. The paper presents a method through selecting Pareto optimal compromise solution by calculating and comparing the degree of satisfaction of each planning scheme with the reference of scholar Paretos approach of striking a multi-objective optimal solution. This method can effectively balance weights between multiple targets and improve the reliability and economy of power grid. The experiment results show the good performance of the proposed method.


2019 ◽  
Vol 6 (4) ◽  
pp. 43
Author(s):  
HADIR ADEBIYI BUSAYO ◽  
TIJANI SALAWUDEEN AHMED ◽  
FOLASHADE O. ADEBIYI RISIKAT ◽  
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...  

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