文章基本信息

标题：Advance approach of solving real coded optimization problem using modified ABC algorithm with crossover operators of GA
本地全文：下载
作者：Mrs. Shahana Gajala Qureshi ; Mrs. Uzma Ansari
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2012
卷号：3
期号：4
出版社：Seventh Sense Research Group
摘要：Artificial Bee Colony (ABC) algorithm is inhabitants based flock intelligence algorithm. There are many algorithms Present for solving numeric optimization problem.ABC is based on the intellectual behaviour of honey bee flock. In this work, ABC algorithm is used with Genetic crossover machinist and tested on standard benchmark functions, and also result compared with the XABC algorithm with the plus of fewer organize parameters. Obtained results show that the concert of the ABC with crossover gives better results than the XABC algorithm.
关键词：Flock Intelligence; Artificial Bee Colony; Genetic Algorithm; Evolutionary Algorithm; Numerical Function Optimization