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<title>International Journal-7-1-Januari-2018</title>
<link>http://repository.polnep.ac.id:80/xmlui/handle/123456789/1551</link>
<description/>
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<dc:date>2026-04-05T04:07:35Z</dc:date>
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<title>Ant Lion Optimization Algorithm for Solving Non-convex Economic Load Dispatch</title>
<link>http://repository.polnep.ac.id:80/xmlui/handle/123456789/1552</link>
<description>Ant Lion Optimization Algorithm for Solving Non-convex Economic Load Dispatch
Mooniarsih, Neilcy Tjahja; Sutrisno; Handoko, Dwi; Saleh, Muhammad; Hardiansyah
This paper presents a new technique to solve non-convex economic load dispatch problem using ant lion&#13;
optimization (ALO) algorithm. ALO is a newly depeloved population-based search algorithm inspired hunting&#13;
mechanism of ant lions. The performance of ALO algorithm is tested for economic load dispatch problem of 6-unit and&#13;
40-unit test systems with incremental fuel cost functions taking into account the valve-point effects. Simulation results&#13;
shows that the proposed method has good convergence property and better in quality of solution than other algorithms&#13;
reported in recent literature.
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<dc:date>2018-01-01T00:00:00Z</dc:date>
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