ass日本风韵熟妇pics男人扒开女人屁屁桶到爽|扒开胸露出奶头亲吻视频|邻居少妇的诱惑|人人妻在线播放|日日摸夜夜摸狠狠摸婷婷|制服 丝袜 人妻|激情熟妇中文字幕|看黄色欧美特一级|日本av人妻系列|高潮对白av,丰满岳妇乱熟妇之荡,日本丰满熟妇乱又伦,日韩欧美一区二区三区在线

基于多目標(biāo)改進蟻群算法的三維混合布局方案設(shè)計
CSTR:
作者:
作者單位:

作者簡介:

通訊作者:

中圖分類號:

基金項目:


3-D Mixed-layout Conceptual Design Based on Multi-objective Improved Ant Colony Algorithm
Author:
Affiliation:

Fund Project:

  • 摘要
    • |
  • 圖/表
    • |
  • 訪問統(tǒng)計
    • |
  • 參考文獻(xiàn)
    • |
  • 相似文獻(xiàn)
    • |
  • 引證文獻(xiàn)
    • |
  • 資源附件
    • |
  • 文章評論
    摘要:

    針對三維混合布局優(yōu)化設(shè)計求解問題,，建立了以空間分割方法為基礎(chǔ)的布局模型表示方法,。對圓柱體布局物體和長方體布局物體，分別對應(yīng)采用線性八叉樹模型和柵格數(shù)據(jù)模型進行模型轉(zhuǎn)換,。提出了填充球組的布局模型表示方法,，根據(jù)布局設(shè)計要求推導(dǎo)出布局優(yōu)化的數(shù)學(xué)模型,。通過構(gòu)建有向布局序列把TSP問題轉(zhuǎn)化為布局優(yōu)化問題，使用適應(yīng)度函數(shù)來處理布局求解過程中多目標(biāo)優(yōu)化問題,，運用改進蟻群算法對其進行優(yōu)化計算得到了Pareto最優(yōu)解,。通過對幾種布局設(shè)計方案的對比分析，驗證了布局建模方法和布局優(yōu)化算法的有效性,。

    Abstract:

    The layout model representation method based on space partition method was established to solve the 3-D mixed layout design. Linear octree and raster data model were used in conversion model for corresponding cylinders layout objects and cuboids layout objects respectively. The filled ball group was proposed for the layout model representation method, and on this foundation, the mathematical model of the layout optimization problem was obtained according to the layout design requirements. Then the TSP problem was transformed into the layout design problem by establishing directed layout sequence. Meanwhile, the fitness function was applied to deal with the multi-objective optimization in the course of the layout, and the improved ant colony algorithm was put into use to gain the Pareto optimum. At last, the effectiveness of the layout method for modeling and optimization algorithm was illustrated by the comparison of the layout design schemes.

    參考文獻(xiàn)
    相似文獻(xiàn)
    引證文獻(xiàn)
引用本文

張泓,李愛平,劉雪梅.基于多目標(biāo)改進蟻群算法的三維混合布局方案設(shè)計[J].農(nóng)業(yè)機械學(xué)報,2010,41(7):191-197.3-D Mixed-layout Conceptual Design Based on Multi-objective Improved Ant Colony Algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery,2010,41(7):191-197.

復(fù)制
分享
文章指標(biāo)
  • 點擊次數(shù):
  • 下載次數(shù):
  • HTML閱讀次數(shù):
  • 引用次數(shù):
歷史
  • 收稿日期:
  • 最后修改日期:
  • 錄用日期:
  • 在線發(fā)布日期:
  • 出版日期:
文章二維碼