A new Kho-Kho optimization Algorithm: An application to solve combined emission economic dispatch and combined heat and power economic dispatch problem

被引:96
作者
Srivastava, Abhishek [1 ]
Das, Dushmanta Kumar [1 ]
机构
[1] Natl Inst Technol Nagaland, Dept Elect & Elect Engn, Dimapur, India
关键词
Combined Emission Economic Dispatch problem (CEED); Combined Heat and Power Economic Dispatch problem (CHPED); Optimization technique; PARTICLE SWARM OPTIMIZATION; GROUP SEARCH OPTIMIZATION; ARTIFICIAL BEE COLONY; SCALE COMBINED HEAT; GENETIC ALGORITHM; LOAD DISPATCH; BAT ALGORITHM;
D O I
10.1016/j.engappai.2020.103763
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, a new optimization technique known as Kho-Kho optimization (KKO) algorithm is presented. This proposed technique is a population based meta-heuristic method which is inspired from the strategies used by players in a well known tag-team game played in India, i.e. Kho-Kho. The performance and superiority of the proposed method with respect to other existing methods is evaluated using twenty nine benchmark functions and real-time optimization problems related to power system i.e. combined emission economic dispatch and combined heat and power economic dispatch problem.
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页数:18
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