integer optimization 中文意思是什麼
integer optimization
解釋
整數規劃- integer : n. 1. 【數學】整數 （opp. fraction）。2. 完整的東西，整體。
- optimization : n. 最佳化，最優化。
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( 3 ) according to the characteristics of the selected objects, the selecting processes and the practical problems in the process of establishing a scm - oriented ave, a three - stage plan and evaluation architecture of partner enterprise selection are presented and a multi - objective optimization model for selecting partner enterprises in aves are given. by means of the methods of integer planning, benchmarking, analytic hierarchy process ( ahp ) and so on, the fuzzy values of critical decision - making factors ( such as
通過實際應用驗證，該erp系統具有統?一致的信息編碼、較好的開放性、集成性、外延性，併兼顧了自動與人工、通用化與行業化兩方面，使系統具有較高的柔性和較強的實用性，可輔助企業實現科學、可靠的產品報價和即時生產it卜該erp系統既不失mnyll的系統性和嚴密性，又保持了ji -
Ant colony optimization algorithm for nonlinear integer programming
非線性整數規劃的蟻群演算法 -
The topics covered in this course include : unconstrained optimization methods, constrained optimization methods, convex analysis, lagrangian relaxation, nondifferentiable optimization, and applications in integer programming
這門課程的主題包括：無限制最適化方法，限制最適化方法，凸分析，拉格朗日鬆弛法，不可微分函數最適化，以及在整數規劃上的應用。 -
In configuration optimization of truss with mixed variables, mixed coded strategies are proposed which are binary and floating coding, integer and floating coding
對于混合變量的析架形狀優化問題，本文提出了混合編碼策略，即二進制和實數混合編碼、整數和實數混合編碼。 -
Prof. xue. y ( 2002 ) proposed a general optimization framework for the coordination, where the task is formulated as a nonlinear hybrid - programming problem with both integer and continuous variables and with numerous stability constraints
當前預防控制和緊急控制已被置於同一個優化過程和相應的協調優化框架，建立了統一研究的優化模型。 -
The numerical solutions show the integer - coded ga is effective. when number of the discrete value between representation for binary coding and in discrete list ca n ' t be corresponded by one - to - one, integer coding is predominant, and better solutions are achieved under the same parameters. in chapter 5, ga is applied to configuration optimization of truss with mixed variables and topology optimization of truss with singularity
通過算例表明，整數編碼的遺傳演算法是有效的，而且在二進制編碼所能表示的離散值個數與變量的可選離散值數目不能一一對應大連理工大學博士學位論文一時，整數編碼顯示了它的優勢，在相同的控制參數下，能夠得到比二進制編碼更優的結果。 -
3. apply industrial process hybrid model mixed with logical and rule to simplify activated sludge process model in wastewater treatment and deduce to a reduced model adapted to control. the simulation result show that this method can combine mechanism model of activated sludge process and expert knowledge and operational experience and can get better effect of optimization and control. moreover, the computational time is short and suitable for real - time control in wastewater treatment by applying mixed integer nonlinear programming mixed with logical rules
應用結合邏輯規則的工業過程混雜模型的方法，對城市污水處理中活性污泥法過程模型進行簡化，得出適用於控制目的的簡化模型，模擬結果證明：這種方法可充分利用對活性污泥法過程機理模型，又可利用專家及操作過程的經驗，從而更利於對活性污泥法過程的優化和控制，而且採用結合約束邏輯的混合整數非線性規劃演算法，計算時間較短，可適用於污水處理過程實時控制中。 -
However, as one of the most complicated mix - integer nonlinear problems with the characteristics of multi - objective, multi - uncertainty, multi - restriction, multi - extremum and discreteness property, the reactive power optimization problem is not yet solved completely
然而由於無功優化問題是一個非常復雜的非線性問題，具有多目標、多不確定性、多約束、多極值和離散性等特點，尚有很多問題有待解決。 -
2. this paper advanced mixed integer nonlinear programming ( minlp ) algorithms mixed with constraint programming ( cp ) to solve industrial process hybrid model mixed with logical rule. cp methods have proved to be successful in solving highly constrained discrete optimization and feasibility problems. it can effectively solve hybrid model mixed with logical rule by integrating cp, nonlinear programming and mixed integer linear programming
本文針對結合邏輯的工業過程混雜模型，提出了結合約束程序（ cp ）的混合整數非線性規劃（ mfnlp ）演算法，採用cp方法求解模型的可行點，並採用milp cp方法求解演算法中的milp主問題，通過計算實例可看出，採用這種演算法比採用通用的轉化成minlp方法的計算時間大為減少。 -
An algorithm for solving the global optimization of nonlinear integer programming
一種求非線性整數規劃全局最小解的演算法 -
In the design optimization of space equipment satellite systems, there are lots of discrete and integer design variables, the design space is nonconvex and even disjointed, and has multimodality. unfortunately, current mdo procedures or strategies have difficulty to deal with discrete or integer design variables, they are very sensitive to complex design space, have propensity to converge to local optima near the starting point, and can not handle multiple objectives effectively. to overcome these difficulties, this dissertation adopt the idea of coevolution to systematically develop new multidisciplinary design optimization methods based on decomposition and coordination
論文以航天裝備體系及其它復雜飛行器系統的多學科設計優化（ multidisciplinarydesignoptimization ，簡稱mdo ）為應用背景，針對航天裝備衛星系統設計中存在大量離散和整數設計變量、設計空間非凸和不連通、具有多個局部最優點等特點和現有mdo方法過程難以處理離散和整數變量、對復雜設計空間非常敏感、易於陷入局部最優、不能有效處理多目標等缺陷，採用協同進化的思想，系統地進行基於分解協調的mdo方法研究。 -
In sizing optimization of truss with discrete variables, integer coding is used and compared with binary coding
對離散變量的桁架尺寸優化問題，本文首次採用整數編碼，並且與二進制編碼進行了比較。 -
Based on this, uses the origin underway accelerate time and the oil consumption at the cycle of multi - working conditions as the objective functions of the power performance and the economy performance respectively, and then transforms it into a single objective function by using the linear adding. establishing the optimization mathematical model between the engine and the power train of the automobile, lastly, solves it with the complex algorithm, which finding out the prime parameter of the power train to improve the integer performance of the automobile
在此基礎之上，基於優化設計的理論，以原地起步連續換檔加速時間和多工況循環使用油耗作為衡量動力性和燃油經濟的兩個分目標，採用線性加權組合的方法將其轉換成單一目標函數，建立了汽車動力傳動系優化數學模型，並選用合適的優化演算法對其進行求解。 -
Newton - pcg algorithm is very efficient for solving the unconstrained optimization problems. we considered an integer one - dimensional optimization problem appeared in newton - pcg method. the efficiency of newton - pcg algorithm is depended on the optimal value of this problem
Newton - pcg演算法是解決無約束問題的有效方法，在該演算法中需要求解一個一維整數最優化問題，並且演算法的效率也依賴於它的最優值。 -
Reactive power optimization which can improve the quality of system voltage and reduce reactive power loss has not been solved completely because of the complexity of mixed - integer nonlinear programming
電力系統無功優化控制對于提高系統電壓質量、降低有功網損具有重要的意義。無功優化問題是非常復雜的非線性混合整數規劃問題，一直沒有得到很好解決。 -
In ga, which uses multiple - point search instead of single - point search and works with the coded structure of variables instead of the variables themselves, the only information required for searching its solution is the objective function and it makes the method simple and powerful in solving the mixed - integer nonlinear optimization problems
遺傳演算法的基本原則是適者生存。它採用多路徑而非單路徑搜索，在解的編碼上進行遺傳操作而非直接對解本身，從而只需要目標函數就能進行問題求解，使得它在混合整數非線性優化問題的求解上顯得簡單而強大。 -
On the base of analysing the shortcoming of genetic algotithms, three improved techniques for genetic algorithms are bring forward in this paper : fuzzy penalty fitness function, random dislocation arithmetic crossover, fuzzy parameter adjust policy, which improve genetic algorithms capability of global convergence and convergent speed. at the same time, the improved genetic algorithms are applied to nonlinear mixed integer problems and complex nonlinear function optimization
在分析實數型遺傳演算法不足的基礎上，本文研究了遺傳演算法的關鍵技術，分別提出了模糊懲罰評價函數、隨機錯位算術雜交運算元、模糊自適應參數控制等改進技術，以提高遺傳演算法的全局收斂性和收斂速度，並應用於求解非線性混合整數規劃問題和復雜高維的函數優化問題。
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