最優可行解 的英文怎麼說
中文拼音 [zuìyōukěhángjiě]
最優可行解
英文
optimal feasible solution-
The complex nonlinear pursuit - evasion model of two spacecraft in near - earth coplanar orbit is simplified to linear model, the circular region the radius of which is equal to capture radius is defined as target set, capture is achieved when the evader come into the target set and the game is over ; the boundary of useable part ( bup ) is determined, and the analytical form solution of the linear equations is obtained by backward integration of the state variables from the bup, the linear barrier of the pursuit - evasion model and the optimum thrust of the both sides are thus obtained
本文將近地共面軌道內運動的兩飛行器非線性追逃模型簡化為線性模型，以捕獲半徑的圓域定為目標集，確定目標集邊界上的可用部分，並以此為各狀態變量的起點，對時間進行倒向積分，求得線性方程組的解析解，從而確定了該追逃模型的線性界柵，以及界柵上對策雙方的最優推力，即求得了滿足最優策略時相對運動的軌跡和推力。The method proposed in this thesis do well in solving the problems of multi - damping - ratio - spectra simulation. it is convenient to obtain the pareto optimal solution set of the multi - object question by using implicit parallel genetic algorithms and the method can meet the practical needs for simulating ground motions coinciding with multi - damping - ratio - spectra in seismic design. the crossing rate and variance rate are important parameters of genetic algorithms which affect the rate of convergence, the adapting rate of cross and variation in this paper can auto - adapt and according to stand or fall of current sample, it assures the sample approach to the pareto optimal solution set in fast convergent speed
較好地解決多阻尼比反應譜擬合問題；本文方法通過一次運行就能獲得一組具有集系特性的地震動，在擬合多阻尼比反應譜的人造地震波集系的模擬方面有傳統方法所不能比擬的優勢，產生的人造波或人造波集系可滿足工程抗震設計需要；在遺傳演算法中，交叉概率和變異概率是影響收斂速度的重要參數，本文採用的改進自適應交叉概率和變異概率，可以根據當前樣本的好壞程度來自動地選擇適當的交叉概率和變異概率，以保證演算法始終以較好的速度向pareto最優解集逼近。Starting from the definition of consideration, the paper states the theoretical and legal basis of consideration, and makes comparison between consideration and compensation. the content contains : ( 1 ) consideration is an important concept in the british and american law of contract ; ( 2 ) when nonnegotiable share turns to be negotiable, the price of negotiable share will decrease. therefore, if this action occurs, nonnegotiable shareholders should make promise to protect negotiable shareholders ’ benefits ; ( 3 ) shareholder structure premium is the basic theoretical basis of consideration payment ; ( 4 ) consideration is a reasonable compensation which contract beneficiary gives to sufferer, according to the fair principle of the civil law
對價從法律上看是一種等價有償的允諾關系，而從經濟學的角度說，對價就是利益沖突的雙方處于各自利益最優狀況的要約而又互不被對方接受時，通過兩個或兩個以上平等主體之間的妥協關系來解決這一沖突; （ 2 ）把對價運用於股權分置改革，其基本含義是未來非流通股轉為可流通時，由於會導致流通股股價下跌，因此，流通股股東同意非流通股可流通的同時，非流通股股東也要對這一行為發生時將充分保護流通股股東的利益不受損作出相應承諾; （ 3 ）股權分置溢價是支付對價的基The company has now numerous full - time and part - time translators and proofreaders coming from various trades and specialties, can provide translation services for more than 40 languages such as english, french, german, russian, italian, spanish, portuguese, japanese and korean, etc., has solved the trouble back at home for the customers who have high requirements, enable ourselves to give the customers most favorable prices, complete language variety translation, shortcut delivery and provide the customers with perfect services
本公司現擁有眾多來自各行業和各專業的專兼職翻譯人員和譯審人員，可提供英語、法語、德語、俄語、義大利語、西班牙語、葡萄牙語、日語和韓語等四十多種語言的翻譯服務，用速度與質量的完美結合，為高要求的客戶解決了后顧之憂，使得我們能夠給客戶最優惠的價格、齊全的語種翻譯和快捷的交稿時間，為客戶提供完善的服務。The best scheme was chosen after analysis and comparing and the structure was designed. at same time, the kinematics analysis was conducted, coordinate transformation matrix using d - h method was set up, and the kinematics equation direct solution and inverse solution was deduced, the velocity jacobian matrix was constructed using vector product method, and the values of displacement and velocity of some special point including the wrist point were calculated. secondly, the working space of the robot was analyzed and the axes section of practical working space was drawn
首先，作者針對機器人的設計要求提出了多個方案，對其進行分析比較，選擇其中最優的方案進行了結構設計；同時進行了運動學分析，用d - h方法建立了坐標變換矩陣，推算了運動方程的正、逆解；用矢量積法推導了速度雅可比矩陣，並計算了包括腕點在內的一些點的位移和速度；然後藉助坐標變換矩陣進行工作空間分析，作出了實際工作空間的軸剖面。It ' s reflected in four aspects : teaching target, teaching resources, teaching tactics and teaching assessment. the determination of teaching contents is the emphasis, and the teaching contents is determined by teaching target ; the collection of material ( teaching resources ) is the difficulty - compose a script after making a careful study of the teaching material, then collect the material according to the script ; teaching tactics are embodied by the determination of information form and by the way in which the contents accord with the form so as to get the best result in teaching ; making teaching assessment guarantees the quality of the software. in the early making period, the original model method of system engineering is adopted to produce small experimental courseware and a further revision and improvement are made in consultation with some experts. also an agreement on the demand of the software system is reached. in the later making period, the software is appraised by experts from its stability, serviceability reasonableness of construction, and the scientific nature of contents, then it is put into use as an experiment. finally those who use it are required to fill the teaching feedback table
教學設計理論是靈魂，它貫穿于整個軟體編制過程，從四個方面來體現：教學目標、教學資源、教學策略、教學評價。教學內容的確定是重點，根據教學目標來確定教學內容；素材的收集（教學資源）是難點，在鉆研教材的基礎上撰寫腳本，根據腳本去收集素材；教學策略體現在信息形式的確定，以及如何使內容與形式協調一致，達到教學最優化的效果；而進行教學評價是本軟體質量的保證，在軟體的製作的初期，採用系統工程論的原型模型法，開發出實驗性小課件，在徵求專家的意見的基礎上進一步修改、完善、確認軟體系統的需求併到達一致的理解，在軟體製作的後期，再請專家從軟體的穩定性、可操作性、結構的合理性、內容的科學性等方面進行鑒定，最後將軟體作實驗性投入使用，再讓實驗對象填寫教學反饋信息表。We use genetic algorithm ( ga ) to realize agents " coalition formation. ga can reduce the cost of searching the optimal solution or quasi - optimal solution, and enhance the efficiency of the whole system
本文使用遺傳演算法來實現機器人聯盟形成，遺傳演算法能夠減少尋找最優解或可行解的開銷，從而提高整個系統的效率。But, generally, the number of the coalition structure is too large to realize the searching of all the coalition structures
但通常情況下可能的聯盟結構的數目太大，以致不允許進行窮盡搜索而找出最優解。The paper analyzes comparatively interior transaction cost of integrated model with analysis structure of r. h. coase and market transaction cost of market model according to bargain proceeding ; analyzing economy of scales for electricity industry on the terms of its definition coming up with an improved " survival of the fittest " method to find optimum economic scale and explaining " separation of power plant from electric network " with the view of vertical economy ; studying selection and realization for valid competition of electricity industry with theory of contestable market, while setting up a oligarch monopoly competition model for the electricity market based on tax control of government with the thought of dynamic game theory of
應用科斯的交易成本分析框架對一體化管理模式下的內部交易成本進行分析，按照契約過程對市場化模式下的市場交易成本進行分析，並作了相應比較；按照規模經濟的定義對電力產業的規模經濟性進行了分析，提出改進的"適者生存法"來確定電力產業的最優經濟規模，並運用縱向經濟的觀點解釋"廠網分開" ；應用可競爭性理論研究了電力產業的有效競爭方式的選擇和實現，同時借鑒stackelberg模型的動態博弈思想，構建了基於政府稅收調控的電力市場寡頭壟斷競爭模型，通過對模型的分析說明了市場結構的演化和政府管制的必要性。A novel dynamic evolutionary clustering algorithm ( deca ) is proposed in this paper to overcome the shortcomings of fuzzy modeling method based on general clustering algorithms that fuzzy rule number should be determined beforehand. deca searches for the optimal cluster number by using the improved genetic techniques to optimize string lengths of chromosomes ; at the same time, the convergence of clustering center parameters is expedited with the help of fuzzy c - means ( fcm ) algorithm. moreover, by introducing memory function and vaccine inoculation mechanism of immune system, at the same time, deca can converge to the optimal solution rapidly and stably. the proper fuzzy rule number and exact premise parameters are obtained simultaneously when using this efficient deca to identify fuzzy models. the effectiveness of the proposed fuzzy modeling method based on deca is demonstrated by simulation examples, and the accurate non - linear fuzzy models can be obtained when the method is applied to the thermal processes
針對模糊聚類演算法不適應復雜環境的問題，提出了一種新的動態進化聚類演算法，克服了傳統模糊聚類建模演算法須事先確定規則數的缺陷.通過改進的遺傳策略來優化染色體長度，實現對聚類個數進行全局尋優;利用fcm演算法加快聚類中心參數的收斂;並引入免疫系統的記憶功能和疫苗接種機理，使演算法能快速穩定地收斂到最優解.利用這種高效的動態聚類演算法辨識模糊模型，可同時得到合適的模糊規則數和準確的前提參數，將其應用於控制過程可獲得高精度的非線性模糊模型Aimed at multiple - limit, multiple - object, non - linear, discrete of voltage / var optimization and control, on account of whole evolution of evolutionary programming, no demand for differentiability of optimal function, and random search, it can obtain global optimum with mayor probability, this paper solve optimal function with evolutionary programming
在對優化的具體實現過程中，由於進化規劃著眼于整個整體的進化，對于所求解的優化問題無可微性要求，採用隨機搜索技術，能以較大的概率求解全局最優解的特點，針對電壓無功控制模型是一個多限制、多目標、非線性、離散的優化控制問題，因此應用進化規劃演算法進行模型的求解。Aiming at such problems in combustion system of homemade middle and miniature boiler, as a complex system with the character of dead zone, time variation, serious non - linearity, large time delay, coupling and a lot of disturbance, this paper presents a new set of optimal control resources. by using well - matched control method on system, stable automatic running is realized. having the serious divulgence coals difference a lot from each other in character, instability of chemistry, value of lowest emission of heat, home - made boiler controller is not at all ideal. instead of traditional model that controls the ratio based on proportional control or with the correct signal of the amount of oxygen, this paper, combined with intellect control theory - - fuzzy control and self - optimizing concept, propounded a kind of fuzzy self - optimizing controller to be used in air supplying system of the boiler, and expatiates on the idea of dividing the control process into two parts, dynamic and static to realize, thus meets the demand of homemade boiler economic running
本設計針對國產中、小型電站鍋爐燃燒系統參數時變、嚴重非線性、干擾因素復雜、耦合嚴重、模型不易確定的特點，提出多變量協調控制方案，解決了系統可控性差，難以實現穩定自動運行的問題；在此基礎上，改變以往以煙氣含氧量控制送風的傳統模式，針對國產電站鍋爐設備主體及一、二次送風迴路泄露嚴重，煤種混雜、成分不穩定、燃燒發熱值低、燃燒效率不高等問題，應用智能控制理論中的模糊控制技術，結合自尋最優控制的思想，設計了一種模糊自尋優控制器，應用在電站鍋爐送風控制系統上，並闡述了動靜態兩種實現途徑，通過在線優化風煤配比，實現最佳經濟燃燒，切實保障了鍋爐的經濟運行。Taking load uncertainties, infeasibility problem and multiple objection of the reactive power optimization in the radial distribution system into consideration, loads are modeled as fuzzy interval numbers. fuzzy power flow is proposed based on fuzzy interval load for the more practical membership function of line losses rate and maximal voltages offset. this thesis presents multiple objection model of the reactive power optimization considering uncertainties using the fuzzy set theory
對配電網電壓無功優化問題中負荷的非概率性的不確定性問題、多目標問題、約束不可行性問題進行了研究，用模糊區間來描述實際的負荷情況，並用負荷的模糊區間值計算配電網的潮流，得到有功功率損耗和電壓的模糊區間值，使網損率和節點電壓最大偏移量的隸屬函數更接近實際情況；將改進遺傳演算法與模糊集理論相結合，通過求解多目標函數和約束條件的模糊集合的交集，得出網損率和節點電壓最大偏移量最小的最優運行狀態。The content of the thesis include many scientific fields, such as nautical mathematics, apparatus, ship navigate, communication, artificial intelligence, computer graphic, graphic management and so on. the function of route planning and advanced navigation in the system is based on electronic nautical chart. it bring forward the grid model in route planning, during the course of route planning, it provide ways to settle all kinds of instance ; it figures out the best head bearing of the ship with the real time transfer data from navigation apparatus to the system, accomplish the advanced navigation function in ecdis
該系統是在電子海圖基礎平臺上來完成航線設計和最優航法功能的，提出了在電子海圖中利用網格模型來進行航線設計的方法，在求取最優航線的過程中，全面綜合地考慮了各種可能出現的情況，並逐一解決；最優航行方法中採用實時獲取船舶導航儀器傳入到系統中的數據，並根據這些數據進行計算，給出船舶當前最佳船艏向，實現基於電子海圖顯示與信息系統的最優航法。And it is obvious that pseudo - relaxation is a kind of local optimization method, so it cannot guarantee to get the global optimal solution. in this paper, a novel learning algorithm eprbam evolutionary psendo - relaxation learning algorithm for bidirectional association memory employing genetic algorithm and pseudo - relaxation method is proposed to get feasible solution of bam weight matrix
即使在和取定后，準鬆弛演算法的訓練和學習仍是一種局部最優化過程，它只是在初始權矩陣的附近找到第一個可行解就結束訓練，這類演算法並不能保證獲得全局最優解。A branch and bound algorithm for solving a class of nonlinear 0 - 1 knapsack problems is proposed, in which branching is common 0 - 1 variables one and a better feasible solution is found by a simply integer heuristic method as well as a lower bound of the optimal value of the subproblem in the each branching node is determined by solving linear programming relaxed approximate problem to be obtained with linear relaxed technique
摘要構造出了一類可分離非線性0 - 1背包問題的分枝定界演算法，分枝的過程是普通的0 - 1變量分枝，用簡單的取整啟發式法確定更好的可行解；而在每個分枝結點處用線性鬆弛技術確定了它的子問題的一個線性規劃鬆弛逼近，由此得到最優值的一個下界。In these methods, relativity degree solution is the method in which an ideal solution is established, the relativity degrees of evaluated solutions and the ideal solution are compared and orders are marshaled at last. affiliation degree solution is the solution in which ideal solution and ill - ideal solution are established, affiliate degrees between evaluated solutions and ideal solution are resolved by establishing a goal function and then orders of all solutions are marshaled according to measurements of affiliation degrees. gross profit solution is the solution in which both ideal solution and ill - ideal solution are considered, the differences between evaluated solutions and them a re measured according to n - dimension euclidean distance, and then gross profits are calculated
其中關聯度法是首先確立一個理想方案，然後比較待評估方案與理想方案的關聯度，最後根據其大小對各待評估方案進行排序；優屬度法是首先確立理想方案和負理想方案，然後把各待評方案與理想方案和負理想方案的優屬度為權建立一個目標函數，進而求出各待評方案與理想方案的優屬度，最後根據優屬度的大小對各方案進行排序；總效用法的思想是同武漢理工大學碩士學位論文時考慮理想解與負理想解二者作為參照基準，並採用n維歐幾里德距離來度量任意可行解（被評估方案）與理想方案及負理想方案之間的差異，然後指導兩個差異結合在一起計算被評估方案的總效用，評估的原則是總效用越大越好;嫡本是物理學中的概念，在信息理論中被借用來作為度量權重的一種方法，但也可用來評估各方案的優劣，其評估原則是嫡值越大越好。The search space is divided into many small areas, and each area is given a certain pheromone value. according to the state transition rules, the artificial ants move to the next solution which is generated randomly or calculated by particle swarm optimization. local search strategy is also added into psaco so that the search speed and precision is enhanced
該演算法首先將連續對象定義域平均分成許多邊緣相互重疊的小區域，區域的稠密程度決定了演算法解的精度，每個區域賦予一定的信息素值;螞蟻根據狀態轉移規則在隨機生成的可行解與利用微粒群演算法得出的可行解之間選擇下一步要去的位置;引入局部尋優策略，加強近似最優解鄰域內的局部搜索，提高搜索速度和精度。On the one hand, instead of a single optimal solution competing goals give rise to a set of compromise solutions, generally denoted as pareto - optimal
就第一點而言，與單目標優化不同的是多個相互競爭目標的優化結果是得到一組可行解，一般被稱作pareto最優解集。This method searched along the edge of active constraints in quadratic programming, which would obtain available solution anytime in calculation and get the optimal solution more quickly
該演算法使用等式約束二次規劃變更指標沿積極約束邊界搜索，可在計算中任何時候得到可行解，並較快得到最優解。分享友人