改进ABC算法求解认知无线网络频谱分配问题

发布时间：2018-03-18 01:32

本文选题：认知无线网络　切入点：频谱分配　出处：《机械设计与制造》2017年01期 　论文类型：期刊论文

【摘要】：针对认知无线网络中频谱分配问题,提出了一种基于改进人工蜂群算法的多目标组合优化算法。首先将频谱分配问题转换成多目标优化问题,然后利用人工蜂群算法的寻优能力来实现频谱最优的分配方案。其中,在雇佣蜂搜索阶段采用新型杂交算子加快收敛速度;跟随蜂搜索阶段引入一种新的概率选择方式保证种群多样性;侦察蜂搜索阶段利用混沌算子来提高全局搜索能力。最后,通过频谱分配仿真对这里提出的算法进行了验证,结果表明:与其他算法相比,这里算法能够较好地跳出局部最优的束缚,具有优化效果佳、稳定性好、鲁棒性强的优点,可以在满足多个优化目标的前提下获得更合理的频谱分配方案。
[Abstract]:To solve the spectrum allocation problem in cognitive wireless networks, a multi-objective combinatorial optimization algorithm based on improved artificial bee colony algorithm is proposed. Firstly, the spectrum allocation problem is transformed into a multi-objective optimization problem. Then the optimal spectrum allocation scheme is realized by using the optimization ability of artificial bee colony algorithm, in which a new hybrid operator is used to speed up the convergence in the phase of hiring bee search. In the following bee search stage, a new probability selection method is introduced to ensure the diversity of the population, and the chaotic operator is used to improve the global search ability in the reconnaissance bee search stage. Finally, the proposed algorithm is verified by spectrum allocation simulation. The results show that compared with other algorithms, this algorithm can jump out of the bondage of local optimum, and has the advantages of good optimization effect, good stability and strong robustness. A more reasonable spectrum allocation scheme can be obtained on the premise of satisfying multiple optimization objectives.
【作者单位】：江苏信息职业技术学院电子信息工程学院;南京航空航天大学机电学院;
【基金】：江苏省高校品牌专业建设工程资助项目(PPZY2015B190) 无锡市科协软科学研究项目(KX16-A-03) 江苏高校哲学社会科学基金资助项目“众创背景下的高职院校科技型社团的建设与管理研究”(2016SJB880071)
【分类号】：TP18;TN925

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