Title :
A Novel Numerical Integration Method Based on Artificial Bee Colony Algorithm
Author :
Juan Xie ; Jianfeng Qiu
Author_Institution :
Dept. of Mathmatics & Phys., Anhui Univ. of Archit., Hefei, China
Abstract :
An new swarm intelligence algorithm based on the behavior of honeybee swarms has been proposed for some years, namely, Artificial Bee Colony(ABC). In this work, ABC is used for optimizing a set of split in a given integration interval by simulating the foraging activities of bees and reflecting the changing trends of the integrand. At the same time, this work also compares the performance of ABC algorithm with that of Trapezoidal, Simpson, Differential Evolution(DE), particle swarm optimization(PSO) for numerical integration. The simulation results show that the mentioned algorithm for numerical integration outperforms the other algorithm.
Keywords :
ant colony optimisation; integration; particle swarm optimisation; ABC algorithm; PSO; Simpson evolution; artificial bee colony algorithm; differential evolution; honeybee swarm behavior; integration interval; numerical integration method; particle swarm optimization; swarm intelligence algorithm; trapezoidal evolution; Algorithm design and analysis; Approximation algorithms; Educational institutions; Optimization; Particle swarm optimization; Tin; Vectors; Artificial Bee Colony; fitness value; inequality point segmentation; numerical integration;
Conference_Titel :
Control Engineering and Communication Technology (ICCECT), 2012 International Conference on
Conference_Location :
Liaoning
Print_ISBN :
978-1-4673-4499-9
DOI :
10.1109/ICCECT.2012.118
