Improved Fireworks Algorithm with Chaotic Sequence Operator for Large-Scale Non-convex Economic Load Dispatch Problem

Fireworks algorithm (FWA) is one of the recently developed meta-heuristic techniques, which has shown potential to solve non-shifted optimization functions. However, several engineering optimization problems have shifted optima where the performance of the algorithm heavily degrades owing to the int...

Full description

Saved in:
Bibliographic Details
Published in:Arabian journal for science and engineering (2011) 2018-06, Vol.43 (6), p.2919-2929
Main Authors: Pandey, Vipin Chandra, Jadoun, Vinay Kumar, Gupta, Nikhil, Niazi, K. R., Swarnkar, Anil
Format: Article
Language:English
Subjects:
Algorithms
Engineering
Fireworks
Functions (mathematics)
Heuristic methods
Humanities and Social Sciences
Mathematical analysis
Mathematical functions
multidisciplinary
Operating zones
Optimization
Power dispatch
Prohibited operating zones
Research Article - Electrical Engineering
Science
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Fireworks algorithm (FWA) is one of the recently developed meta-heuristic techniques, which has shown potential to solve non-shifted optimization functions. However, several engineering optimization problems have shifted optima where the performance of the algorithm heavily degrades owing to the intrinsic limitations of FWA. This paper proposes an Improved FWA with Chaotic Sequence Operator (IFWA-CSO) to efficiently solve diverse engineering optimization problems having shifted optima. The proposed algorithm is validated on benchmark mathematical functions. The IFWA-CSO algorithm is then proposed to solve complex economic dispatch problem of power systems considering several practical constraints such as valve-point loading effect, ramp rate limits, prohibited operating zones, etc. The application results of the proposed method on 140 generator system are presented and compared with existing methods available in literature.
ISSN:2193-567X
1319-8025
2191-4281
DOI:10.1007/s13369-017-2956-6