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基于萤火虫算法的管路系统布局序列优化技术 被引量:11

Optimization technology of pipeline system layout sequence based on firefly algorithm
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摘要 针对复杂机电产品中的多根管路布局设计与优化问题,提出一种基于萤火虫算法的管路布局序列优化方法。该方法以长度、折弯数和流阻为综合优化目标,结合布局过程的约束条件建立了优化模型;对萤火虫算法进行离散化,重新定义萤火虫的间距和个体更新机制,使其适用于序列规划问题的求解;提出一种确定性和随机性相结合的方法生成初始种群,以含免疫记忆的A*算法求得路径,同时采用混合种群迭代更新策略,通过更新精英解集获得全局最优解。设计并开发了原型系统,以旅行商问题为例对算法效率进行了测试,并将所提方法应用到某产品的液压管路布局上,验证了所提方法的可行性。 To solve the multi-pipe layout design and optimization problem in mechanical and electrical products, a pipe layout sequence optimization method based on firefly algorithm was proposed. An optimization model was construc-ted by constraints and optimization objective, which consisted of pipe length, number of elbows and flow resistance. Furthermore, a firefly algorithm was modified to redefine the distance and flight mechanism among fireflies, which adapted to the solution of sequence planning problem. On this basis, a combination of deterministic and stochastic method was used to generate the initial population, the path was planned by A* algorithm with immune memory. Meanwhile, a mixed population iterative method was applied to update the population, eventually the global optimal solution could be obtained by updating the elite solution set. A prototype system was developed, and the efficiency of the algorithm was tested by TSP. The proposed method was applied to the hydraulic pipe system to verify the feasibility of proposed method.
出处 《计算机集成制造系统》 EI CSCD 北大核心 2016年第8期1837-1848,共12页 Computer Integrated Manufacturing Systems
基金 国家自然科学基金资助项目(51275047) 国防基础科研资助项目(A0420132503) 总装预先研究资助项目(51318010102)~~
关键词 管路布局 序列优化 萤火虫算法 多管路布局 pipe layout sequence optimization firefly algorithm multi-pipe layout
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  • 1ZHU D, LATOMBE J C. Pipe routing-path planning (withmany constraints) [C]//Proceedings of IEEE InternationalConference on. Robotics and Automation.. Washington., D. C. -U SA: IEEE,1 9 9 1 :1940-1947.
  • 2ITO T. A genetic algorithm approach to piping route path planning[J]. Journal of Intelligent Manufacturing, 1999 , 10 ( 1 ) :103-114.
  • 3PARK J H, STORCH R L. Pipe-routing algorithm development:case study of a ship engine room design. [J] . ExpertSystems with Applications-2002,23(3) :299-309.
  • 4THANTULAGE G I F . Ant colony optimization, based simulation,of 3D automatic hose/pipe routing[D]. London,UK:Brunei University, 2009.
  • 5ASMARA A , NIENHUIS U. Automatic piping system in. ship[EB/OL]. (2006-01-15) [2015-06-30]. http;//xueshu. baidu.com/s- wd=paperuri%3A%283e7738591363a25bel8a3da33ca846bb%29&-filter = sc_ long_ sign.&-tn = SE_ xueshusource_2kduw22v&-sc_ vurl = http% 3A% 2F% 2Fciteseerx. ist. psu.edu % 2Fviewdoc % 2Fdownload % 3Bjsessionid % 3D39F830FFF11FF302386AA45D4A9125CE% 3Fdoi% 3D10. 1. 1. 105.354% 26rep% 3Drepl% 26type% 3Dpdf&-ie = utf-8&-sc_ us= 12169680612691371273.
  • 6付宜利,封海波,孙建勋,马玉林.基于混沌算法的机电产品管线自动敷设研究[J].计算机集成制造系统,2007,13(3):497-501. 被引量:19
  • 7王成恩,柳强,白晓兰,王健熙,李明.航空发动机复杂约束空间内管路敷设技术[J].计算机集成制造系统,2010,16(11):2327-2332. 被引量:14
  • 8陈志英,樊江,蔡乓乓,王荣桥.基于遗传算法的管路智能敷设应用研究[J].机械科学与技术,2006,25(8):932-934. 被引量:10
  • 9樊江,马枚,杨晓光.基于协进化的管路系统智能寻径[J].航空动力学报,2004,19(5):593-597. 被引量:9
  • 10JIANG W Y , LIN Y , CHEN M, et al. A co-evolutionaryimproved multi-an.t colony optimization, for ship multiple andbranch pipe route design.[J]. Ocean. Engineering- 2015 -102 :63-70. DOI; 10. 1016/j. oceaneng. 2015. 04. 028.

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