An Elitist Transposon Quantum-Based Particle Swarm Optimization Algorithm for Economic Dispatch Problems
Joint Authors
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-17
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Population-based optimization algorithms are useful tools in solving engineering problems.
This paper presents an elitist transposon quantum-based particle swarm algorithm to solve economic dispatch (ED) problems.
It is a complex and highly nonlinear constrained optimization problem.
The proposed approach, double elitist breeding quantum-based particle swarm optimization (DEB-QPSO), makes use of two elitist breeding strategies to promote the diversity of the swarm so as to enhance the global search ability and an improved efficient heuristic handling technique to manage the equality and inequality constraints of ED problems.
Investigating on 15-unit, 40-unit, and 140-unit widely used test systems, through performance comparison, the proposed DEB-QPSO algorithm is able to obtain higher-quality solutions efficiently and stably superior than the other the state-of-the-art algorithms.
American Psychological Association (APA)
Wu, Angus& Yang, Zhen-Lun. 2018. An Elitist Transposon Quantum-Based Particle Swarm Optimization Algorithm for Economic Dispatch Problems. Complexity،Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1135714
Modern Language Association (MLA)
Wu, Angus& Yang, Zhen-Lun. An Elitist Transposon Quantum-Based Particle Swarm Optimization Algorithm for Economic Dispatch Problems. Complexity No. 2018 (2018), pp.1-15.
https://search.emarefa.net/detail/BIM-1135714
American Medical Association (AMA)
Wu, Angus& Yang, Zhen-Lun. An Elitist Transposon Quantum-Based Particle Swarm Optimization Algorithm for Economic Dispatch Problems. Complexity. 2018. Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1135714
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1135714