TY  - JOUR
VL  - 465
AV  - none
Y1  - 2018///
KW  - Computation theory; Computational efficiency; Constraint satisfaction problems; Constraint theory; Multiobjective optimization; Optimization; Scheduling
KW  -  Bat algorithms; Combined economic emission dispatch; Economic Dispatch; Emission dispatch; Multi objective; Valve point effects
KW  -  Electric load dispatching
SP  - 923
A1  - Mahdi, F.P.
A1  - Vasant, P.
A1  - Abdullah-Al-Wadud, M.
A1  - Watada, J.
A1  - Kallimani, V.
PB  - Springer Verlag
EP  - 933
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034601279&doi=10.1007%2f978-3-319-69814-4_89&partnerID=40&md5=79913c8e95d08a762a316e3b2fe42008
N2  - Combined economic emission dispatch (CEED) is a multi-objective optimization problem that deals with the minimization of total fuel cost and total emission of hazardous gases in thermal power generation system, while satisfying all equal and inequality constraints. In this research, quantum-behaved bat algorithm (QBA) is proposed and applied to solve non-linear multi-objective CEED problem. Valve-point effect is considered along with CEED as a practical constraint of power generation system. QBA is applied to 10-unit power generation system and compared separately as single objective economic and emission dispatch problems as well as multi-objective CEED problem with other existing methods like ABCPSO, DE, NSGA-II, SPEA-2 and SA. The obtained results and comparison of results demonstrate the power of QBA in terms of solution quality, convergence characteristics and computational efficiency. © Springer International Publishing AG 2018.
ID  - scholars10935
N1  - cited By 1; Conference of 4th International Conference on Advanced Engineering Theory and Applications, AETA 2017 ; Conference Date: 7 December 2017 Through 9 December 2017; Conference Code:204619
TI  - Quantum-Behaved Bat Algorithm for Combined Economic Emission Dispatch Problem with Valve-Point Effect
SN  - 18761100
JF  - Lecture Notes in Electrical Engineering
ER  -