计算机工程与应用Issue(14)：57-62,6.DOI:10.3778/j.issn.1002-8331.1409-0071
混合编码粒子ABC算法的CR认知决策引擎
Cognitive radio decision engine based on hybrid encoding particle ABC optimization algorithm
摘要
Abstract
The core of the Cognitive Radio(CR)is decision engine. In order to adapt reconfiguration of the CR parame-ters, an improved Binary Artificial Bee Colony (BABC) algorithm is proposed. The algorithm is based on the basic BABC algorithm, and the opposition-based learning initialization mechanism, hybrid coding rules, and social cognitive strategies are added to ensure the diversity of individuals to improve the search speed. The key steps of the proposed Hybrid Encoding Particle Bee Colony(HABC)optimization algorithm are presented and multicarrier system is used for simulation analysis. The experimental results show that the convergence speed and accuracy of the proposed method is superior to the classical Genetic Algorithm(GA)and BABC method, CR decision engine optimization parameters have better performance.关键词
混合编码/粒子蜂群算法/认知无线电/决策引擎Key words
hybrid encoding/particle artificial bee colony/cognitive radio/decision engine分类
信息技术与安全科学引用本文复制引用
尤晓建,韩雪梅,伍春,江虹..混合编码粒子ABC算法的CR认知决策引擎[J].计算机工程与应用,2015,(14):57-62,6.基金项目
国家自然科学基金（No.61379005，No.61072138）。 （）
