计算机科学 ›› 2015, Vol. 42 ›› Issue (11): 266-269.doi: 10.11896/j.issn.1002-137X.2015.11.054

• 人工智能 • 上一篇    下一篇

七星瓢虫优化算法及其在多学科协同优化中的应用

王鹏,李 洋,王昆仑   

  1. 西北工业大学航海学院 西安710072,西北工业大学航海学院 西安710072,中国兵器工业试验测试研究院 华阴714200
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受国家自然科学基金项目(51375389)资助

Seven-spot Ladybird Optimization and its Application in Multidisciplinary Collaborative Optimization

WANG Peng, LI Yang and WANG Kun-lun   

  • Online:2018-11-14 Published:2018-11-14

摘要: 基于对七星瓢虫觅食行为的研究,提出一种新的生物学启发式算法——七星瓢虫优化算法(Seven-spot Ladybird Optimization,SLO)。通过6个标准测试函数将其与现有的两种启发式算法(GA、PSO)进行比较,探知其寻优能力。在此基础上,针对多学科设计优化协同优化算法求解效率不高、鲁棒性差等缺陷,将SLO引入协同优化算法系统级优化器,通过工程实例验证了七星瓢虫优化算法良好的寻优能力。

关键词: 七星瓢虫优化算法,多学科设计优化,协同优化算法,寻优能力

Abstract: Based on the life habits of seven-spotted ladybird,we gave a new heuristic algorithm called seven-spot ladybird optimization(SLO).Compared with two existing heuristic algorithms,GA and PSO,its optimization ability was presented.In view of the defects of multidisciplinary design optimization (MDO),such as low solving efficiency,poor robustness,we took SLO to the system level optimization of collaborative optimization (CO) and verified the searching capability of SLO algorithm through a project example.

Key words: Seven-spot ladybird optimization,MDO,CO,Searching capability

[1] Ning A,Kroo I.Multidisciplinary considerations in the design of wings and wing tip devices[J].Journal of Aircraft,2010,47(2):534-543
[2] Roshanian J,Ebrahimi M,Taheri E,et al.Multidisciplinary design optimization of space transportation control system using genetic algorithm[J].Proceedings of the Institution of Mechanical Engineers,Part G:Journal of Aerospace Engineering,2014,228(4):518-529
[3] Simpson T W,Martins J R R A.Multidisciplinary design optimization for complex engineered systems:report from a national science foundation workshop[J].Journal of Mechanical Design,2011,133(10):1490-1495
[4] Li Y,Jiang Z,Meng P,et al.A Collaborative Optimization Me-thod for Solving Multi-objective Programming Problem[J].International Journal of Advancements in Computing Technology,2013,5(1):809
[5] 王平,郑松林,吴光强.基于协同优化和多目标遗传算法的车身结构多学科优化设计[J].机械工程学报,2011,47(2):102-108 Wang P,Zheng S L,Wu G Q.Multidisciplinary design optimization of vehicle body structure based on collaborative optimization and multi-objective genetic algorithm[J].Journal of Mechanical Engineering,2011,47(2):102-108
[6] Li Ying,Wang Jing-sheng,Wei Li-xin.Collaborative optimiza-tion based on particle swarm optimization and chaos searching[C]∥Control Conference (CCC),2012 31st Chinese.IEEE,2012:2427-2431
[7] 薛锋,王慈光,牟峰.基于信息熵和混沌理论的遗传-蚁群协同优化算法[J].控制与决策,2011,26(1):44-48 Xue F,Wang C G,Mu F.Genetic and ant colony collaborative optimization algorithm based on information entropy and chaos theory[J].Control and Decision,2011,26(1):44-48
[8] 周奇,张立丽,许辉,等.改进的多学科协同优化算法及其应用[J].计算机与数字工程,2014,42(1):65-68 Zhou Q,Zhang L L,Xu H,et al.An improved collaborative optimization algorithm and its application[J].Computer & Digital Engineering,2014,42(1):65-68
[9] Vantaux A,Roux O,Magro A,et al.Evolutionary perspectives on myrmecophily in ladybirds[J].Psyche:A Journal of Entomology,2012,2012:1-7
[10] Pettersson J,Ninkovic V,Glinwood R,et al.Foraging in a complex environment-semiochemicals support searching behaviour of the seven spot ladybird[J].European Journal of Entomology,2005,102(3):365-370
[11] Padula S L,Alexandrov N,Green L L.MDO test suite at NASA Langley Research Center[C]∥Sixth AIAA/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization.1996:410-420

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!