crossover operator 中文意思是什麼
crossover operator
解釋
交叉運算元-
The research of crossover operator of genetic algorithms
遺傳演算法的交叉運算元研究 -
In this paper, a genetic algorithm was presented to solve the problem of the searching of the optimal coalition structure. we designd one - dimension chromosome coding structure and the corresponding improved uniformity crossover operator and the heuristic mutation operator
我們給出了一種求解最佳聯盟結構的gas演算法，設計出了一種簡單的一維自然數染色體編碼結構和改進的均勻交叉運算元以及啟發式變異運算元。 -
Crossover is implemented using arithmetic crossover operator. then unsymmetrical mutation is conducted using the new mutation operator which can expand the scope of chromosome gene value, at the same time, the chromosome with the highest fitness values are retained for each iteration. a lot of experiments are implemented to obtain the optimized initial weighs and bias
生成了三維矩陣表示的染色體，進行了聯賽選擇，利用算術交叉運算元進行了交叉運算，利用構造的新的變異運算元，進行了非均勻變異，同時保留了每次進化運算后最優的適應值，通過大量實驗，實現了遺傳演算法優化bp網路的初始權值和閾值的目的。 -
Simultaneously, for preventing prematurity, crossover positions in crossover operator choose according to not equal probability. when bringing into new genes, reverse bit binary strings those have the same number as the optimal individuals are supplied, which settles gene absence problem reproduction results in
同時為了防止早熟現象，交叉運算元中的交叉位置按非等概率選取的方法進行；在納入新的基因時，加入與最優個體群等量互補的二進制碼串，解決了復制操作導致基因缺失的問題。 -
The author expatiated on the basic structure, coding manners, decoding rules, fitness function selection, self - adapted mutation and crossover operator, the judging flow of chromosome feasibility of the algorithm, finally, put forward the computing result with pattern of data table and gantt graph
詳細地闡述了演算法的基本結構、編碼方式、解碼規則、適值函數的選取、自適應變異和交叉運算元的設計、染色體可行性的判斷流程，最後以數據表和甘特圖的方式給出了計算結果。 -
Based on the single genetic algorithms and the features of the distribution network reconfiguration, this dissertation makes a further study on such aspects as selection operator, crossover operator, mutation operator, termination conditions and etc, thus, puts forward improved genetic algorithms. the dissertation makes certain study on the optimization reconfiguration model of distribution network. it puts forward a multi - objective model and according to the theory of variable weight coefficients transforms the multi - objective problem into a single - objective one
針對目前遺傳演算法在配電網路重構應用中的不足，論文著重從選擇運算元、交叉運算元、變異運算元和收斂準則等方面進行了改進，把最優保存策略和兩兩競爭相結合的方法作為新的選擇運算元，採用隨最優個體相對保留代數自適應變化的交叉和變異運算元，把最優個體最少保留代數作為演算法的終止條件。 -
The main research work of dissertation can be concluded as follows : 1. two kinds of hybrid strategies of genetic algorithms and tabu search are discussed systematically in this paper. the idea of tabu search is introduced to improve crossover operator and mutation operator of genetic algorithms for the first strategy, while tabu search is executed to a certain proportional selected individuals in the population after genetic evolution of every generation for the second strategy
本文的主要研究成果概括如下: 1 .論文比較系統地探討了遺傳演算法和禁忌搜索演算法的兩種混合策略:第一種是利用禁忌搜索的思想來改進遺傳演算法的交叉運算元和變異運算元;第二種是對每代中交叉變異后得到的新種群中的一定比例的個體進行禁忌搜索處理。 -
To compensate the shortage of the bigger test set of pure ant algorithm, the method of crossing ant algorithm and genetic algorithm is presented. meanwhile, the implementation methods of the objective function, selection operator, crossover operator, and mutation operator are given, and the test results are compared with the results of ant algorithm, based on standard sequential circuits iscas ' 89
為彌補單純採用螞蟻演算法進行測試矢量生成時，測試矢量集過大的缺點，摘要提出了螞蟻演算法和遺傳演算法交叉的測試生成方法，給出了遺傳演算法的目標函數、選擇運算元、交叉運算元、變異運算元的實現方法。 -
This paper, firstly, expatiates the content and sense about optimal design of water supply networks, briefly introduces all optimal methods which have been advanced, analyzes these methods and points out their limitation, summarizes the factors which influence the results in optimal design of water supply networks ; secondly, it introduces the principle of genetic algorithms ( ga ). it takes yearly expenditure converting value as target function and sets up the ga model on optimal design of water supply networks based on sga by means of taking some effective measures on selection operator, crossover operator, mutation operator and some parameters setting ; finally, the ga model is verified by its application on engineering project
本文首先闡述了給水管網優化設計的內容和意義，簡要介紹了已有的優化方法，分析比較了各種優化方法並指出其存在的不足，歸納總結了影響給水管網優化設計結果的各種因素；接著，介紹了遺傳演算法的基本原理，然後在標準遺傳演算法的基礎上，通過對選擇運算元、交叉運算元、變異運算元以及部分參數的設置採取改進措施，並以年費用折算值為目標函數，建立了給水管網優化設計的遺傳演算法模型；最後，通過工程實例驗證了該模型具有一定的理論和應用價值。 -
( 3 ) an adaptive crossover operator, an adaptive mutation operator and a multiple and variable elitist operator are proposed to enhance the reliability and efficiency of ga
（ 3 ）提出了自適應雜交、自適應突變和多重動態優選等遺傳運算元，旨在提高ga的可靠性和效率。 -
Second, by combining theories of strength of laminate with ga, a new gradient free optimization method with new code strategy is discussed. the representation itself does not change the nature of the problem, but effects the searching efficiency of the algorithm. so the representation of the parameters to be optimized is a very important factor and the new code strategy is also easy used with crossover operator and variation operator in ga applications
其次，本文根據層合板優化設計的具體問題提出了一種符號編碼方式，雖然優化參數的基因編碼表達方式並不能改變優化問題的本質，但是不同的編碼表達方式對于遺傳演算法搜索的效率和最終的優化結果有著重要的影響，因此優化參數的基因編碼表達是遺傳演算法應用於工程問題中非常關鍵的一步。 -
Mechanism analysis of mutation operator based on algebraic crossover operator
基於代數雜交運算元的變異運算元機理分析 -
Through the simulation test, the paper analyses the impact of crossover operator, mutation operator and eliminating near best result operator on the algorithms
通過模擬實驗，本文分析了交叉運算元、變異運算元及近憂淘汰算于對演算法的影響。 -
In this dissertation genetic arithmetic is used to find periodic fixed point of dc / dc converter system. while a new crossover operator is submitted to accelerate the convergence speed of ga
本文首先應用遺傳演算法來求取dc / dc變換器系統的不穩定不動點，同時提出一種新的雜交運算元，以解決演算法收斂慢的不足。 -
This hybrid algorithm applicates pattern search on each individual afer crossover operator and mutation operator of genetic algorithm, and improve the mutation operator to the big mutation operator in order to speeding convergence
本文提出的演算法是在遺傳演算法的交叉和變異運算元之後對每個個體進行單純形局部尋優的單純形混合遺傳演算法，並且對變異運算元進行了改進，採用大變異運算元，以達到加快收斂速度的目的。 -
Then a genetic algorithm ( ga ) was proposed using a real parameter coding, a ranking selection operator, an arithmetical crossover operator and a uniform mutation operator, and calculated the least - square error of the observed and computed values as its fitness function
實例計算表明，雖然雲峰大壩存在一些安全隱患（諸如溫控不當導致的混凝土缺陷、壩基巖石中存在斷層等） ，但總的來講其運行狀況良好。 -
Agv ( automated guided vehicle ) optimization is a typical np problem, in the course of initial group generation, this article applied accumulator process, crossover operator based continuous insertion heuristic mode, and push - connect - exclude method. according to stacker running process and characteristics, stacker optimization was devided into two parts, the first one was shelves number optimization, the second one was travel scheduling problem. finally, this article written genetic algorithm program based on c
Agv的優化調度屬于典型的np問題，在初始群體的產生中，採用聚加過程，並建立了可行插入的條件；提出了基於連續插入啟發式的交叉運算元；採用了推?銜接?排除過程來使任務的滿意度達到最佳；針對堆垛機的運行過程，建立了數學模型，並依據其運行特點，把堆垛機的優化分為兩部分，一是針對庫位號的優化，改變傳統的庫位號排列方式，利用遺傳演算法建立起比較合理的庫位號排列順序；二是把堆垛機的運行線路簡化為旅行商問題，並做了適當的修改。 -
It also introduces the concept of function module and a new kind of coding way, crossover operator and mutational operator
提出了功能塊的概念，介紹了一種新的編碼方式、交叉運算元和突變運算元。 -
Approach towards a less destructive crossover operator with heuristic knowledge
利用啟發性知識降低交叉運算元破壞性的研究 -
Auto - - generating paper is a constrained multi - object optimization problem. this paper presents a way based on genetic algorithm ( ga ) to solve the problem. we define the crossover operator and mutation operator in the real coded and adjust the probabilities of crossover and mutation
系統實現採用三層組織結構，面向學習者、教師、管理員三類用戶，具有課程學習、作業、答疑、考試以及交流功能，同時採用java語言來構建智能agent ，解決了個性化學習的問題。
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