Ant Lion Optimization Algorithm for Solving Non-convex Economic Load Dispatch

dc.contributor.author	Mooniarsih, Neilcy Tjahja
dc.contributor.author	Sutrisno
dc.contributor.author	Handoko, Dwi
dc.contributor.author	Saleh, Muhammad
dc.contributor.author	Hardiansyah
dc.date.accessioned	2018-03-06T12:47:03Z
dc.date.available	2018-03-06T12:47:03Z
dc.date.issued	2018-01-01
dc.identifier.issn	2278 – 8875
dc.identifier.uri	http://repository.polnep.ac.id/xmlui/handle/123456789/1552
dc.description.abstract	This paper presents a new technique to solve non-convex economic load dispatch problem using ant lion optimization (ALO) algorithm. ALO is a newly depeloved population-based search algorithm inspired hunting mechanism of ant lions. The performance of ALO algorithm is tested for economic load dispatch problem of 6-unit and 40-unit test systems with incremental fuel cost functions taking into account the valve-point effects. Simulation results shows that the proposed method has good convergence property and better in quality of solution than other algorithms reported in recent literature.	en_GB
dc.language.iso	en	en_GB
dc.publisher	www.ijareeie.com	en_GB
dc.subject	Ant lion optimization algorithm	en_GB
dc.subject	economic load dispatch	en_GB
dc.subject	valve-point effects	en_GB
dc.title	Ant Lion Optimization Algorithm for Solving Non-convex Economic Load Dispatch	en_GB
dc.type	Other	en_GB