The artificial tree (AT) algorithm. (October 2017)

• Record Type: Journal Article
• Authors: Li, Q.Q.; Song, Kai; He, Z.C.; Li, Eric; Cheng, A.G.; Chen, Tao
• Is Part Of: Engineering applications of artificial intelligence. Volume 65(2017:May)
• Page Start: 99
• Page End: 110
• Publication Date: 2017-10
• Subjects: Numerical optimization -- Bionic intelligent algorithm -- Artificial tree algorithm; Engineering -- Data processing -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Ingénierie -- Informatique -- Périodiques; Intelligence artificielle -- Périodiques; Systèmes experts (Informatique) -- Périodiques; Artificial intelligence; Engineering -- Data processing; Expert systems (Computer science); Periodicals; 620.00285
• DOI: 10.1016/j.engappai.2017.07.025
• Languages: English
• ISSNs: 0952-1976

Abstract

Abstract: Bionic intelligence algorithms have many advantages compared with traditional optimization algorithms. In this paper, inspired by the growth law of trees, a new bionic algorithm, named artificial tree (AT) algorithm is developed. In the proposed AT, the branch position is considered as the design variable. In addition, the branch is the solution, and the branch thickness is the indicator of the solution. The computing process of AT is achieved by simulating the transport of organic matters and the update of tree branches. The comparative analysis using thirty typical benchmark problems between AT algorithm and some well-known bionic intelligent methods is also performed. Based on numerical results, AT is found to be very effective in dealing with various problems. Graphical abstract: