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船舶管路三维布局优化的变长度编码遗传算法 被引量:32

A Variable Length Coding Genetic Algorithm to Ship Pipe Path Routing Optimization in 3D Space
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摘要 基于遗传算法提出一种适合船舶管路布局特点的变长度编码技术和相应的遗传算子。该编码方式和遗传算子具有下述的设计特点:保证染色体中的基因相互关联,避免在遗传操作中非法个体的产生;采用有方向指导的随机方式生成初始路径和子路径;根据约束条件划分布局空间;可在三维空间下对船舶管路优化布局进行研究。经仿真试验证明该方法可行、有效,优化结果令人满意。 Based on genetic algorithm, a variable length coding technique and genetic operators suitable for ship pipe path routing planning is presented. The coding technique and genetic operators have the following characters, to guarantee that genes in chromosome are linked each other; to avoid illegal individuals during initial individuals generations and genetic operations; to generate initial paths and sub paths randomly under, directional guidance; to divide workspaces according to spatial constraints; to optimize ship pipe paths routing in 3D modeling-space. The simulation tests show that this approach proposed by authors is feasible and valid and the result is satisfied.
出处 《中国造船》 EI CSCD 北大核心 2007年第1期82-90,共9页 Shipbuilding of China
关键词 船舶 舰船工程 船舶管路 优化布局 编码方式 遗传算法 ship engineering ship pipe path optimizing planning coding technology genetic algorithm
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参考文献17

  • 1Wangdahl G E,Pollock SM,Woodward J B.Minimum trajectory pipe routing[J].Journal of Ship Research,1974,18(1):44-49.
  • 2ISO/CDC 10303-217.Product Data Representation and Exchange Part:217,Application Protocol:Ship Piping[S].1996.
  • 3樊江,马枚,杨晓光.航空发动机外部管路自动敷设研究[J].机械设计,2003,20(7):21-23. 被引量:36
  • 4Schmidt-Traub H,Koster M,Holtkotter T,Nipper N.Conceptual plant layout[J].Computers Chemical Engineering,1998,22(Suppl.):499-504.
  • 5Burdorf A,Kampczyk B,Lederhose M,et al.CAPD* computer-aided plant design[J].Computers and Chemical Engineering,2004,28:73-81.
  • 6Kniat A.Optimization of three-dimensional pipe routing[J].Schiffstechnik (Ship Technology Research),2000,47:111-114.
  • 7Ito T.A genetic algorithm approach to piping route path planning[J].Journal of Intelligent Manufacturing,1999,10:103-114.
  • 8Ito T.Piping layout wizard:basic concepts and its potential for pipe route planning[A].International Conference on Indrustrial and Engineering Applications of Artifical Intelligence and Expert Systems[C].Castellon,Spain:June 1998,1.438-447.
  • 9Sandurkar S,Chen W.GARPUS-genetic algorithms based pipe routing using tessellated objects[J].Comput Ind 1999,38:209 223.
  • 10Park J H,Storch R L.Pipe-routing algorithm development:case study of a ship engine room design[J].Expert System with Applications,2002,23:299-309.

二级参考文献13

  • 1Hisup Park, Soo Hong Lee, Mark R Cutkojky. Computational support for concurrent engineering of cable harness[R]. CDR Technical Report, 1992.
  • 2Zhang L, Kleine U, Roewer F et al. A novel design tool for analog integrated circuits, ln:Proceedings of First Joint Symposium on Opto-& Microelectronic Device and Circuits, Nanjing,2000. 146-149.
  • 3Cheng C, Kuh E. Module placement based on resistive network optimization. IEEE Transactions on Computer-Aided Design CAD-3,1984,3(7) :218-225.
  • 4Sechen C, Sangiovanni-vincentelli A. The timberwolf placement and routing package. IEEE Journal of Solid-State Circuits,1985,sc-20(2) : 510-522.
  • 5Wong D F, Liu C L. A new algorithm for floorplan design. In:Proceedings of the 23rd ACM/IEEE Design Automation Conference, Berlin, 1986. 101 - 107.
  • 6Cohn J M , Garrod D J, Rutenbar R A et al. KOAN/ANAGRAM Ih New tools for device-level analog placement and routing. IEEE Journal of Solid-State Cireuits, 1991, 26 ( 1 ) ;330-342.
  • 7Rijmenants J, Litsios J B, Schwarz T R etal. ILAC: An automated layout tool for analog CMOS circuits. IEEE Journal of Solid-State Circuits, 1989, 24(2) : 417-425.
  • 8Shahookar K, Mazumder P. A genetic approach to standard cell placement using meta-genetie parameter optimization.IEEE Transactions on Computer-Aided Design, 1990, 9 (5) :500-511.
  • 9Chan H, Mazumder P, Shahookar K. Macro-cell and module placement by genetic adaptive search with bitmap-represented chromosome. Integration, the VLSI Journal, 1991, 28(9) : 49-77.
  • 10Esbensen H, Mazumder P. SAGA: A unification of the genetic algorithm with simulated annealing and its application to macrocell placement. In: Proceedings of the 7th International Conference on VLSI Design, London,1994. 211-214.

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