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湘潭大学 信息工程学院,湖南 湘潭 411105
[ "范朝冬(1984-),男,江西宜春人,博士,湘潭大学讲师,主要研究方向为智能信息处理、智能电网、模式识别与人工智能等。" ]
[ "章兢(1957-),男,湖南韶山人,博士,湘潭大学教授、博士生导师,主要研究方向为智能计算、复杂系统控制等。" ]
[ "易灵芝(1966-),女,湖南宁乡人,湘潭大学教授、硕士生导师,主要研究方向为交流调速与电力电子装置、智能电网、新能源发电等。" ]
网络出版日期:2015-07,
纸质出版日期:2015-07-25
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范朝冬, 章兢, 易灵芝. M-精英协同进化分子动理论优化算法[J]. 通信学报, 2015,36(7):144-152.
Chao-dong FAN, Jing ZHANG, Ling-zhi YI. M-elite coevolutionary kinetic-molecular theory optimization algorithm[J]. Journal on communications, 2015, 36(7): 144-152.
范朝冬, 章兢, 易灵芝. M-精英协同进化分子动理论优化算法[J]. 通信学报, 2015,36(7):144-152. DOI: 10.11959/j.issn.1000-436x.2015200.
Chao-dong FAN, Jing ZHANG, Ling-zhi YI. M-elite coevolutionary kinetic-molecular theory optimization algorithm[J]. Journal on communications, 2015, 36(7): 144-152. DOI: 10.11959/j.issn.1000-436x.2015200.
提出了一种M-精英协同进化分子动理论优化算法(MECKMTOA
M-elite coevolutionary KMTOA)。该算法基于M个精英以尽量防止算法陷入按维早熟。测试结果表明,MECKMTOA在求解精度、算法稳定性、高维函数求解等方面均表现出避免发生错误引导,通过精英间的学习与协作提高算法的收敛精度,采用新型的波动算子良好性能。
M-elite coevolutionary kinetic-molecular theory optimization algorithm (MECKMTOA) was proposed.MECKMTOA uses M elites to avoid misleading
improves the convergence precision by learning and collaboration among the elites
employs a new wave operator to prevent premature by dimension.The results show that MECKMTOA has good performance in precision and stability
and can solve the high-dimensional function optimization problems well.
LIN C H,CHOY K L , HO G T S , NG T W . A genetic algorithm-based optimization model for supporting green transportation operations [J ] . Expert Systems with Applications , 2014 , 41 ( 7 ): 3284 - 3296 .
DONG W Y , ZHOU M C . Gaussian classifier-based evolutionary strategy for multimodal optimization [J ] . IEEE Transactions on Neural Networks & Learning Systems , 2014 , 25 ( 6 ): 1200 - 1216 .
KHATOD D K , PANT V , SHARMA J . Evolutionary programming based optimal placement of renewable distributed generators [J ] . IEEE Transactions on Power Systems , 2013 , 28 ( 2 ): 683 - 695 .
MIRJALILI S , LEWIS A , SADIQ A S . Autonomous particles groups for particle swarm optimization [J ] . Arabian Journal for Science and Engineering , 2014 , 39 ( 6 ): 4683 - 4697 .
ZHENG L . An improved monkey algorithm with dynamic adaptation [J ] . Applied Mathematics and Computation , 2013 , 222 ( 1 ): 645 - 657 .
张冬丽 , 唐英干 , 关新平 . 用改进的人工蜂群算法设计AVR系统最优分数阶PID控制器 [J ] . 自动化学报 , 2014 , 40 ( 5 ): 973 - 979 .
ZHANG D L , TANG Y G , GUAN X P . Optimum design of fractional order pid controller for an avr system using an improved artificial bee colony algorithm [J ] . Acta Automatica Sinica , 2014 , 40 ( 5 ): 973 - 979 .
ZHANG C J , LI X Y , GAO L WU Q . An improved electromagnetism-like mechanism algorithm for constrained optimization [J ] . Expert Systems with Applications , 2013 , 40 ( 14 ): 5621 - 5634 .
FORMATO R A . Central force optimization with variable initial probes and adaptive decision space [J ] . Applied Mathematics and Computation , 2011 , 2 ( 17 ): 8866 - 8872 .
MIRJALILI S , LEWIS A . Adaptive gbest-guided gravitational search algorithm [J ] . Neural Computing and Applications , 2014 , 25 ( 7 ): 1569 - 1584 .
FAN C D , OUYANG H L , ZHANG Y J , et al . Optimization algorithm based on kinetic-molecular theory [J ] . Journal of Central South University , 2013 , 20 ( 12 ): 3504 - 3512 .
范朝冬 , 张英杰 , 欧阳红林 等 . 基于改进斜分Otsu法的回转窑火焰图像分割 [J ] . 自动化学报 , 2014 , 40 ( 11 ): 2480 - 2489 .
FAN C D , ZHANG Y J , OUYANG H L , et al . Improved Otsu method based on histogram oblique segmentation for segmentation of rotary kiln flame image [J ] . Acta Automatica Sinica , 2014 , 40 ( 11 ): 2480 - 2489 .
JIAO L C , WANG H D , SHANG R H , et al . A co-evolutionary multi-objective optimization algorithm based on direction vectors [J ] . Information Sciences , 2013 , 228 ( 10 ): 90 - 112 .
LI H C , FANG L . Co-evolutionary algorithm:an efficient approach for bilevel programming problems [J ] . Engineering Optimization , 2014 , 46 ( 3 ): 361 - 376 .
CHEN P H . Two-level hierarchical approach to unit commitment using expert system and elite PSO [J ] . IEEE Transactions on Power Systems , 2012 , 27 ( 2 ): 780 - 789 .
YOUSEFIKHOSHBAKHT M , DIDEHVAR F , RAHMATI F . An efficient solution for the vrp by using a hybrid elite ant system [J ] . International Journal of Computers Communications & Control , 2014 , 9 ( 3 ): 340 - 347 .
慕彩红 , 焦李成 , 刘逸 . M-精英协同进化数值优化算法 [J ] . 软件学报 , 2009 , 20 ( 11 ): 2925 - 2938 .
MU C H , JIAO L C , LIU Y . M-elite coevolutionary algorithm for numerical optimization [J ] . Journal of Software , 2009 , 20 ( 11 ): 2925 - 2938 .
慕彩红 , 焦李成 , 刘逸 . M-精英协同进化算法及其在 V-BLAST 系统中的应用 [J ] . 电子与信息学报 , 2009 , 31 ( 10 ): 2443 - 2448 .
MU C H , JIAO L C , LIU Y . M-elitist evolutionary algorithm and its application to v-blast system [J ] . Journal of Electronics & Information Technology , 2009 , 31 ( 10 ): 2443 - 2448 .
秦进 , 李歆 . 一种简单的资源受限的群体演化模型 [J ] . 复杂系统与复杂性科学 , 2009 , 6 ( 2 ): 82 - 86 .
QIN J , LI X . A simple model of population evolution with limited resource [J ] . Complex Systems and Complexity Science , 2009 , 6 ( 2 ): 82 - 86 .
范朝冬 , 欧阳红林 , 肖乐意 . 基于空间截面投影的Otsu图像分割算法 . 通信学报 , 2014 , 35 ( 5 ): 70 - 78 .
FAN C D , OUYANG H L , XIAO L Y . Otsu thresholding method based on projection of cross section for image segmentation [J ] . Journal on Communications , 2014 , 35 ( 5 ): 70 - 78 .
杜海峰 , 公茂果 , 焦李成 等 . 用于高维函数优化的免疫记忆克隆规划算法 [J ] . 自然科学进展 , 2004 , 14 ( 8 ): 925 - 933 .
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