genetic system optimal 中文意思是什麼
genetic system optimal
解釋
最佳遺傳系統-
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。 -
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 -
A niched - penalty approach is used to transform this optimal kinematical design problem to an unconstrained one. a kinematic accuracy comparison of the genetic designed fine - tuning stewart platform with the quasi - newtonian designed one is made. the comparison results have shown that the kinematic accuracy of the genetic designed fine - tuning stewart platform has a much higher accuracy and a compact structure than that of the quasi - newtonian designed one, which guarantees the accomplishment of high precision trajectory tracking and reduces the disturbance of wind to the feed - supporting system
以並聯機器人jacobian矩陣的條件數為優化設計的目標函數，提出了基於遺傳演算法的並聯機器人最優運動學性能結構參數優化設計方法，採用實值遺傳演算法，對精調stewart平臺進行了優化設計，得到了最優運動學的精調stewart平臺結構參數，為實現新一代大射電望遠鏡饋源指向跟蹤系統高精度軌跡跟蹤控制奠定了堅實的基礎。 -
Finally, jinduicheng mo. company open - pit is quoted as an instance for building mine transportation vechile scheduling system model, and according to the model, adopt genetic algorithm to study the optimization of mine transportation vechile scheduling system. a rational project is given to this problem, the paper also analysized the optimial design of mine transortation vechile scheduling, the model offering in this paper, convergence of optimal algorithm and data bank management, and transportation project of minerals and disposals is optimized, which realize the decision of transportation project and data visibilization, and wich improves the science and information process of transportation department management
最後，論文以金堆城鉬業公司露天礦為例建立礦山運輸車輛優化調度模型，結合所建立的礦山車輛優化調度模型，採用遺傳演算法對礦山運輸車輛系統進行優化研究，為其提供合理的體系方案。並對礦山車輛優化調度系統設計進行了詳細分析，提出的礦山車輛優化調度系統，集優化演算法與數據庫管理分析於一體，進行礦巖運輸方案的優化，實現調度方案決策的可視化、運行數據的可視化，促進運輸部門管理的科學化、信息化進程。 -
Taking natural frequency and mode as damage principle, damage detection is studied as optimal problem based on genetic algorithm, and damage indices, symmetry and precision in the damage detection is discussed. numerical simulation of the damage detection of offshore platforms using genetic algorithm proves the feasibility of genetic algorithm in damage detection of large structure ; program all the process of genetic algorithm in damage detection into damage detection system
以實測的固有頻率和振型為診斷依據，將損傷診斷問題歸結為優化問題，採用遺傳演算法加以研究，以10單元固端梁的損傷診斷為基礎，討論了診斷中出現的損傷指標，損傷對稱性和變量精度等問題；將遺傳演算法的損傷診斷應用於海洋平臺，驗證了遺傳演算法用於大型結構損傷診斷的可能性；並用matlab將遺傳演算法應用於損傷診斷的全過程編製成損傷診斷系統。 -
Using the literature materials and experience before, this paper makes a thorough study on optimal design of water supply networks. an algorithm of decomposing and coordination of system engineering which divides the optimization of the whole networks into three parts, i. e. optimization of water resource flow, and pipe - diameter and standardization of pipe - diameter is proposed. the three parts can be resolved by generalized contracted grads method, hybrid genetic algorithm which is the combination of genetic algorithm and grg method separately
本文根據以往的文獻資料及相關工程經驗，針對給水管網優化設計這一課題做了深入的研究，提出利用分層分解協調演算法將管網優化設計問題分解成流量優化、管徑優化及管徑取整三個子課題的思想，並分別採用廣義簡約梯度法、遺傳演算法與廣義簡約梯度法相結合的混合遺傳演算法及簡單遺傳演算法來求解三個課題。 -
Optimal design of water distribution system by genetic algorith
遺傳演算法在水分配系統優化設計中的應用研究 -
The direct optimal model of multi - objective mixed discrete variables for lager - scale water supply system was established, by replacing complicated network hydraulic equation with nodal pressures macroscopic model and relationship model between pump stations flow and head in water supply systems without tanks or towers, genetic algorithm was developed to solve the direct optimal model
以測壓點壓力宏觀模型、水源供水量和水源供水水頭之間的關系模型替代復雜的管網水力平衡方程，建立了大型供水系統的多目標混合離散變量的直接優化調度模型。在沒有水池和水塔的供水系統中，利用遺傳演算法對直接優化調度模型進行求解。 -
In order to complete the research on optimal control regular for coal - fired boiler inflammation system. in this paper, a type of coal - fired boiler inflammation system is regarded as the research target, after separately analyzed steam pressure loop and economical inflammation loop, we obtained the relevant control scheme, and designed a kind of fuzzy - pi compound controller on based of genetic algorithm to control two loops, and using genetic algorithm tool kit below the matlab progressed system simulation research
為了完成對燃煤鍋爐燃燒系統的最優控制規律的研究，本文以某型燃煤鍋爐的燃燒系統作為研究對象，分別對其蒸汽壓力迴路和經濟燃燒迴路進行系統分析，得到了相應的控制方案，設計了一種基於遺傳演算法的模糊- pi復合控制器對該系統進行控制，並用matlab下的遺傳演算法工具箱進行了系統模擬研究。 -
According to an analysis of the current various optimum methods, a new mixed type of genetic algorithm are proposed, which overcomes some typical limitations such as the decrease of hunting efficiency lack of hunting competence near the optimal solution. with a model for optimum design setup, the system brwcad are worked out with the advanced language visual basic6. 0 and the object - oriented technique
此外，針對衡重式擋土墻常規設計存在的弊病，指出其優化設計的必要性與重要性，並在比較分析已有優化方法優缺點的基礎上，引入並提出了一種新型混合遺傳演算法進行優化設計，解決了臨近最優解搜索效率降低、搜索能力不足等缺陷。 -
This paper presents an elite inheritance strategy of antibody in memory cells to strengthen the memory function and antibody concentration regulation mechanism of immune system, which can make the immune genetic algorithm ( iga ) converge to the global optimal point more rapidly and stably
摘要提出了一種記憶細胞精英抗體遺傳策略，能強化免疫系統的記憶功能和抗體濃度調節機制，從而使免疫遺傳演算法更快速、穩定地收斂到全局最優點。 -
Dual coding hybrid genetic algorithm for optimal schedule of pumping stations in multi - sources water injection system
多源注水系統泵站優化調度的雙重編碼混合遺傳演算法 -
Making use of the idea of the parallel genetic algorithms, presenting the adaptive multiple subpopulation evolutive strategy. presenting extinction and immigration strategy in order to avoid the similar or even same individuals appear. in order to enhance convergence velocity of reactive power optimization of the radial distribution system, combining the characteristic of the radial distribution system, a sensitivity analysis approach was build up for optimal selection of capacitors and mutation of transformer tap changer
為了提高配電網無功優化的收斂速度，結合配電網的特點，提出採用簡單可行的靈敏度公式選擇無功電容補償器的安裝地點，並用靈敏度分析變異變壓器分接頭，使變異運算元的選取更符合配電網無功優化問題中關于調節變壓器分接頭的實際情況，減少了一些不必要的變異運算，使適應性和魯棒性加強；根據實際情況採用無功補償電容器的啟發式變異，使變異運算元的選取更符合無功優化問題中關于補償電容器的實際。 -
Thanks to the support of the national natural science foundation of china under grand no. 50277036 for " the pulse electromagnetic fields and system - level em radiation of electric vehicles ", this thesis concentrated on the design of the variable voltage and variable frequency ( vvvf ) system and the development of a genetic algorithm for vector optimal design problems. the work includes mainly four parts : a brief introduction of the frequency - converter, the emc design of the vvvf system and the national standard of the electromagnetic interference of the vvvf system, the study of global search optimization algorithms, and an improved genetic algorithm called emigration genetic algorithm for multi - objective optimal problems
在國家自然科學基金資助項目《電動汽車脈沖電磁場與系統級輻射的研究》的工作基礎上，本文對電動車電磁輻射關鍵部分? ?變頻調速系統的電磁兼容性設計以及在電磁兼容性設計中涉及到的電磁系統的多目標優化方法進行了系統的分析和研究，其核心內容包括：變頻器工作原理；變頻調速系統電磁兼容性設計及變頻調速系統電磁兼容標準；隨機類全局優化演算法研究；提出了一種改進的遺傳演算法命名為遷徙遺傳演算法。 -
Based on above theoretical bases, in this paper an optimal control model of master / slave parallel genetic algorithm to solve dta problem is proposed. based on the drawing cluster with distributed storage and message passing system, this algorithm is implemented in the master / slave mode of the pvm parallel platform
在上述理論基礎上，實現了最優控制動態交通分配的主從式并行遺傳演算法，並在基於分散式存儲和消息傳遞體系結構的曙光機群系統下，應用并行編程環境pvm下master slave模式完成了上述演算法。 -
Optimal design of system efficiency parameters about terminal - sensitive projectiles based on support vector machine and genetic algorithm
基於支持向量機和遺傳演算法的末敏彈系統效能參數優化設計 -
A study on modeling, scheduling and optimal control problems for a class of hybrid manufacturing systems is investigated. in this framework, the discrete entities have a state characterized by a temporal component whose evolution is described by event - driven dynamics and a physical component whose evolution is described by continuous time - driven dynamics, thus it is a typical hybrid system. not only the optimal control for manufacturing process like that discussed in many references but also the optimal machining sequence are considered in this paper. the whole problem is solved by a two - level optimization method : at the inner loop, for any given machining sequence of the jobs, the optimal control for manufacturing process is considered ; while at the outer level, an improved genetic algorithm is used to decide the optimal machining sequence of a batch of jobs to be processed. finally, some examples are given to illustrate the validity of the algorithm
研究了一類單階段混合製造系統的建模、分析與調度問題，這類系統既包含離散事件動態，也包含連續時間動態，前者用排隊網路描述，後者用微分方程描述.不僅考慮了a這類系統的最優控制問題，而且考慮了工件進入生產線的最優時間，並用一個復雜的優化模型描述，同時給出了一個兩層優化方法，內層給出對給定工件序列的最優控制，而外層用一改進的遺傳演算法求解工件進入生產線的最優時間序列.若干模擬實例說明了演算法的有效性 -
Optimal design of water distribution system using genetic algorithms
應用遺傳演算法進行給水管網優化設計 -
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。 -
The approach of constraint relaxation and adjusting tank level achieving from upper level was proposed to avoid unfeasible solutions of lower - level optimal model. hierarchic genetic algorithm ( hga ) was established to solve direct optimal operation model of system with tanks. hga is appropriate for optimal model including multi - constraints and multi - variants
對含有蓄水池供水系統的直接優化調度模型，本文結合遺傳演算法的特點，提出分層遺傳演算法優化的思路，並建立了適合遺傳演算法求解的第一層、第二層優化模型，可以有效解決變量和約束多的城市供水系統直接優化調度問題。
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