<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns="http://www.w3.org/2005/Atom">
<title>International Journal-7-1-Januari-2018</title>
<link href="http://repository.polnep.ac.id:80/xmlui/handle/123456789/1551" rel="alternate"/>
<subtitle/>
<id>http://repository.polnep.ac.id:80/xmlui/handle/123456789/1551</id>
<updated>2026-04-05T01:55:12Z</updated>
<dc:date>2026-04-05T01:55:12Z</dc:date>
<entry>
<title>Ant Lion Optimization Algorithm for Solving Non-convex Economic Load Dispatch</title>
<link href="http://repository.polnep.ac.id:80/xmlui/handle/123456789/1552" rel="alternate"/>
<author>
<name>Mooniarsih, Neilcy Tjahja</name>
</author>
<author>
<name>Sutrisno</name>
</author>
<author>
<name>Handoko, Dwi</name>
</author>
<author>
<name>Saleh, Muhammad</name>
</author>
<author>
<name>Hardiansyah</name>
</author>
<id>http://repository.polnep.ac.id:80/xmlui/handle/123456789/1552</id>
<updated>2018-03-06T12:47:03Z</updated>
<published>2018-01-01T00:00:00Z</published>
<summary type="text">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.
</summary>
<dc:date>2018-01-01T00:00:00Z</dc:date>
</entry>
</feed>
