Bionic intelligence algorithms have many advantagescompared withtraditional optimization algorithms. In this paper, inspired by thegrowth lawof trees, a new bionic algorithm,named artificialtree (AT) algorithmis developed. In the proposedAT, the branch position isconsidered as the design variable.In addition, the branch isthe solution, and the branchthicknessistheindicatorof the solution. Thecomputingprocess of ATis achieved by simulating the transport of organic mattersand the update of tree branches. Thecomparative analysis using thirty typical benchmarkproblemsbetween ATalgorithm and some well-known bionic intelligent methodsis alsoperformed.Based onnumerical results, AT is foundto beveryeffective in dealing withvariousproblems.
|Number of pages||12|
|Journal||Engineering Applications of Artificial Intelligence|
|Early online date||17 Aug 2017|
|Publication status||Published - 31 Oct 2017|
Li, QQ., Song, K., He, Z., Li, Q. B. E., Cheng, A., & Chen, T. (2017). The artificial tree (AT) algorithm. Engineering Applications of Artificial Intelligence, 65, 99-110. https://doi.org/10.1016/j.engappai.2017.07.025