A Comparison of Exchange Market Algorithm and Ant Lion Optimizer for Optimal Economic Dispatch

被引：0
|
作者：
Ajayi, Oluwafemi [1 ]
Nwulu, Nnamdi [1 ]
Damisa, Uyikumhe [1 ]
机构：
[1] Univ Johannesburg, Dept Elect & Elect Engn Sci, Johannesburg, South Africa
来源：
PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON COMPUTATIONAL TECHNIQUES, ELECTRONICS AND MECHANICAL SYSTEMS (CTEMS) | 2018年
关键词：
Ant Lion Optimizer; Economic Dispatch; Exchange Market Algorithm; Optimization; PARTICLE SWARM OPTIMIZATION;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This is a comparative study of two metaheuristic algorithms (Exchange Market Algorithm and Ant Lion Optimizer) when applied to solving the economic dispatch optimization problem. Both algorithms were implemented on the standard IEEE 14 bus and 30 bus systems. The results obtained were compared on the metrics of convergence rate, cheaper cost, average runtime and stability. From analysis, there is a trade-off between both algorithms in terms of performance for both test cases which proves the 'No Free Lunch' theorem that there is no metaheuristic algorithm best suited for solving every optimization problem. This study also proves the robustness and effectiveness of the two algorithms in solving optimization problems.
引用
收藏
页码：100 / 103
页数：4
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