cutting stock 中文意思是什麼
cutting stock
解釋
插枝砧木-
Firstly, in this thesis, we discuss the development of one - dimensional cutting stock problems and other well - known algorithms about them, summarize the basic principle of genetic algorithms, and analyze the effect of coding, fitness function, crossover operators and mutation operators in the genetic process of genetic algorithms
本文首先介紹了一維下料問題的研究概況及其已有的著名演算法，綜述了遺傳演算法的基本原理和方法，分析了遺傳演算法的編碼、適應度函數、交叉和變異運算元在整個遺傳演算法的運算過程中的作用。 -
Based on analyzing the mathematical models for one - dimensional cutting stock problem, a greedy algorithm has been constructed, which is an approximate algorithm
摘要在對一維下料方案數學模型分析的基礎上，提出了一種基於貪心演算法的求解方法。 -
Based on the analysis of the features, key procedure and research tendency of various algorithms for cutting stock problem, this paper proposes that the increasing of material utility ratio can not be reached by solving cutting stock problem only. a integrated solution should be resolved from both management and application optimization technology in view of system engineering
通過分析各排樣演算法的特點、關鍵步驟與研究趨勢，本文從系統工程的觀點出發，指出提高材料利用率不僅僅只是一個排樣問題的求解，而是要從下料生產管理和優化技術方法兩個方面同時入手，建立完整的解決方案。 -
In the process of large - scale electromechanical equipment manufacturing, the degree of organization and management as well as measures of technique during the course of cutting stock, which do a great effect to produce cost and produce cycle
大型機電設備的生產製造過程中，零件毛坯下料生產的組織管理水平和技術手段，對設備的製造成本和生產周期有很大的影響。 -
This paper points out that it is efficient to code the string of index of the parts in adopting ga to solve cutting stock problem after analyzing the features and research tendency of ga. this paper presents suitable operators of selection, crossover and mutation for the coding method. these operators are used in the calculation of one - dimensional and rectangular cutting stock problems
本文為這種基因編碼設計了實用的選擇、交叉、變異遺傳運算元，並將其用於一維下料方案優化問題、矩形件排樣問題的求解；討論了不同工藝要求條件下的適應度定義方法，並用四川大學博士學位論文計算實例驗證了其尋優效果。 -
The paper based on the idea of k - opt algorithm for tsp, present a swap algorithm for the one - dimensional cutting - stock problem
摘要根據旅行商問題（ tsp ）的鄰域搜索演算法的思想，提出了型材下料問題的一種優化演算法。 -
After the implementing of bpr, sjzsstp has been promoted at these aspects markedly : simplifying organization, cutting stock, improving quality of productions, reducing cost, enlarging the share of market, satisfying buyers rapidly and increasing revenue
通過流程重組后的石家莊市特種鋼管廠，精簡了機構，降低了庫存，改進了流程。在提高質量，降低成本，擴大市場份額，快速滿足顧客需求，提高經濟效益等方面得到顯著提高。 -
Then, this paper deeply studies the key technology of the cutting stock system for project manufacture enterprises : optimized cutting stock, graph disposal and system integration, etc. after analyzing the working flow of the column generation technology, brings forward the interpolation algorithm for solving non - guillotine cutting stock problem. image processing technologies including parts image processing and result image generating are studied
分析了優化下料演算法? ?列生成法的求解流程，提出了插補求解二維non - guillotine切割的啟發式演算法；分析了圖形處理技術，包括零件圖預處理技術和結果圖生成技術；提出了系統集成的方案，實現了優化下料技術與cad 、 capp 、 cam技術的有機集成。 -
Numerical sign coding is improved to solve one - dimensional cutting stock problems. according to this coding we put forward genetic algorithm with elitist model to make new algorithm more effective
針對一維下料問題對符號編碼方式作了改進，採用數字元號編碼方式，針對訂貨材料的切割數量不同，提出了相應的遺傳演算法。 -
The principal working and conclusions in this paper are as follows : 1 ) by discussing the problem of two - dimensional cutting stock in the field of generator manufacture, this paper expounds the important value of increasing the material utility ratio and researches the method of achieving the optimal nesting cad / cam system
本文的主要研究內容與成果如下： 1 ）分析了我國發電設備製造中板材下料加工的概況，闡明了提高板材下料利用率對企業的重要意義，討論了發電設備板材下料cad cam系統的軟體開發實現方式。 -
Then, the cutting - stock technology in the product design system oriented to the optimized utilization of material resource is deeply studied. in this paper, the mathematics model of two - dimensional guillotine cutting - stock problem based on inventory is set up. to solve the mathematics model above, the iterative solving method through wiping off worse layout is put forward ; on the base of the column generation formulas that are deduced to solve multi - material two - dimensional guillotine cutting - stock model ， the column generation algorithm is brought forward by using column generation technology ; the solution of two - dimensional knapsack problem and one - dimensional knapsack problem is studied ; the concept of the value of
給出了基於庫存的二維guillotine優化下料問題的數學模型，提出了一種新的求解方法? ?去差迭代求解法；引入了列生成技術，在推導多原材二維guillotine優化下料模型求解的列生成數學形式的基礎上，給出了列生成迭代求解演算法，研究並分析了二維背包問題和一維背包問題的求解演算法；提出了板材排樣價值概念，建立了板材排樣價值的估計方法；論文同時針對優化下料技術當前應用中存在的問題，提出了一種基於asp （ applicationservicesprovider ）模式的多軟體協同優化下料解決方法並給出了該方法基於agent思想的具體實現技術。 -
The subject focus on the issues about how to optimize the usage of material for manufacturing, especially on wood plate, the core arithmetic of the system is algorism genetic algorithms using the computer technology, the system is developed to realize the algorithms, which can optimize layout of two - dimensional cutting stock automatically the genetic algorithms overcome shortcomings of some traditional optimization, which can only get the local optimal solutions. the algorithms step out from local optimization to get the global optimization through the gene mutation of chromosome
本課題對目前製造業生產工藝中存在的下料問題，尤其是板式傢具的優化排料問題，進行了深入地分析和研究，將實數型遺傳演算法作為核心演算法，引入到系統設計中，提出了解決板材下料的一套實用演算法，結合計算機編程，實現了二維板材傢具優化下料的自動優化排料系統。 -
An integer nonlinear programming approach optimizing cutting stock problem
整數非線性規劃方法優化下料問題 -
Single type : for cutting stock at certain length or coiling back the finished products
單式：適用於卷料厚度0 . 15mm以上，單製品或連續沖製品時用之。 -
Secondly, cutting stock problems were studied systematically, which were solved by genetic algorithms
接著本文對用遺傳演算法解下料問題進行了系統研究。 -
Then several genetic algorithms were designed to solve different cutting stock problems. some good numerical results are reported
根據不同類型的下料問題設計了多種遺傳演算法，並取得了較好的數值結果。 -
At the same time, crossover and mutation are developed to construct genetic algorithm of one - dimensional cutting stock problem
本文採用了最優保存策略來保持種群中的優良個體，使得產生的遺傳演算法更加有效。 -
In this thesis, genetic algorithms are studied from coding. on the basis of the study genetic algorithms are applied to solving one - dimensional cutting stock problems
本篇論文在對遺傳演算法進行分析和研究的基礎上，把遺傳演算法用於一維下料問題的求解。 -
Finally, two new genetic algorithms are applied to solve the cutting stock problem. the results demonstrate that new genetic algorithms have predominance in the general cutting stock problems
最後，本文對兩個新的遺傳演算法進行了數值試驗，結果表明新演算法能有效地求解一般下料問題。 -
On the base of the general plan, this paper brings forward the system structure of the cutting stock system, and analyzes the function, input and output, working flow of each module in detail
針對該總體方案進行了板材下料系統的系統結構設計，並對各個模塊的功能、輸入輸出、處理流程進行了詳細的分析。
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