Crown Growth Optimizer: An Efficient Bionic Meta-Heuristic Optimizer and Engineering Applications

Chenyu Liu, Dongliang Zhang () and Wankai Li
Additional contact information
Chenyu Liu: College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Dongliang Zhang: College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Wankai Li: College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China

Mathematics, 2024, vol. 12, issue 15, 1-35

Abstract: This paper proposes a new meta-heuristic optimization algorithm, the crown growth optimizer (CGO), inspired by the tree crown growth process. CGO innovatively combines global search and local optimization strategies by simulating the growing, sprouting, and pruning mechanisms in tree crown growth. The pruning mechanism balances the exploration and exploitation of the two stages of growing and sprouting, inspired by Ludvig’s law and the Fibonacci series. We performed a comprehensive performance evaluation of CGO on the standard testbed CEC2017 and the real-world problem set CEC2020-RW and compared it to a variety of mainstream algorithms such as SMA, SKA, DBO, GWO, MVO, HHO, WOA, EWOA, and AVOA. The best result of CGO after Friedman testing was 1.6333/10, and the significance level of all comparison results under Wilcoxon testing was lower than 0.05. The experimental results show that the mean and standard deviation of repeated CGO experiments are better than those of the comparison algorithm. In addition, CGO also achieved excellent results in specific applications of robot path planning and photovoltaic parameter extraction, further verifying its effectiveness and broad application potential in practical engineering problems.

Keywords: meta-heuristics; swarm optimizer; tree crown; bionic; engineering application (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/12/15/2343/pdf (application/pdf)
https://www.mdpi.com/2227-7390/12/15/2343/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:12:y:2024:i:15:p:2343-:d:1443924

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().