Biological Flower Pollination Algorithm with Orthogonal Learning Strategy and Catfish Effect Mechanism for Global Optimization Problems
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-08
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
The flower pollination algorithm (FPA) is a novel optimization technique derived from the pollination behavior of flowers.
However, the shortcomings of the FPA, such as a tendency towards premature convergence and poor exploitation ability, confine its application in engineering problems.
To further strengthen FPA optimization performance, an orthogonal learning (OL) strategy based on orthogonal experiment design (OED) is embedded into the local pollination operator.
OED can predict the optimal factor level combination by constructing a smaller but representative test set based on an orthogonal array.
Using this characteristic of OED, the OL strategy can extract a promising solution from various sources of experience information, which leads the population to a potentially reasonable search direction.
Moreover, the catfish effect mechanism is introduced to focus on the worst individuals during the iteration process.
This mechanism explores new valuable information and maintains superior population diversity.
The experimental results on benchmark functions show that our proposed algorithm significantly enhances the performance of the basic FPA and offers stronger competitiveness than several state-of-the-art algorithms.
American Psychological Association (APA)
Cui, Weijia& He, Yuzhu. 2018. Biological Flower Pollination Algorithm with Orthogonal Learning Strategy and Catfish Effect Mechanism for Global Optimization Problems. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1208593
Modern Language Association (MLA)
Cui, Weijia& He, Yuzhu. Biological Flower Pollination Algorithm with Orthogonal Learning Strategy and Catfish Effect Mechanism for Global Optimization Problems. Mathematical Problems in Engineering No. 2018 (2018), pp.1-16.
https://search.emarefa.net/detail/BIM-1208593
American Medical Association (AMA)
Cui, Weijia& He, Yuzhu. Biological Flower Pollination Algorithm with Orthogonal Learning Strategy and Catfish Effect Mechanism for Global Optimization Problems. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1208593
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208593