TY  - JOUR
Y1  - 2016///
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011321099&partnerID=40&md5=018a93f9f37e7495aee737423c7627b0
A1  - Mahdi, F.P.
A1  - Vasant, P.
A1  - Kallimani, V.
A1  - Fai, P.S.Y.
A1  - Wadud, M.A.
JF  - Journal of Telecommunication, Electronic and Computer Engineering
VL  - 8
N2  - In this research, authors have exploited particle swarm optimization (PSO) technique for solving the emission dispatch problem. Authors have used cubic function, instead of quadratic function, to solve emission dispatch problem to make the system more robust against nonlinearities of actual power generator. PSO with cubic function reveals better results by optimizing less emission of hazardous gases, transmission losses and showing robustness against nonlinearities than simplified direct search method (SDSM).
IS  - 12
ID  - scholars7518
SN  - 21801843
PB  - Universiti Teknikal Malaysia Melaka
EP  - 21
AV  - none
N1  - cited By 5
SP  - 17
TI  - Emission dispatch problem with cubic function considering transmission loss using particle swarm optimization
ER  -