Models & Optimisation and Mathematical Analysis Journal
Volume 7, Numéro 1, Pages 6-9

On The Computational Performance Of Artificial Bee Colony Programming Strategy

Authors : Boudouaoui Yassine . Habbi Hacene .


In recently published works, a novel artificial bee colony programming algorithm (ABCP) is proposed to solve symbolic regression problem which is a very important practical issue. Symbolic regression is a process of obtaining a mathematical model using given finite sampling of values of independent variables and associated values of dependent variables. This paper addresses the analysis of the computational performance of ABCP strategy with respect to two key control parameters. Considering typical benchmark problems, general rules are deduced through various simulations performed under different settings.


Artificial bee colony programming ; symbolic regression ; swarm optimization ; automatic programming