International Journal-7-1-Januari-2018http://repository.polnep.ac.id:80/xmlui/handle/123456789/15512024-03-28T21:25:55Z2024-03-28T21:25:55ZAnt Lion Optimization Algorithm for Solving Non-convex Economic Load DispatchMooniarsih, Neilcy TjahjaSutrisnoHandoko, DwiSaleh, MuhammadHardiansyahhttp://repository.polnep.ac.id:80/xmlui/handle/123456789/15522018-03-06T12:47:03Z2018-01-01T00:00:00ZAnt 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
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.
2018-01-01T00:00:00Z