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chap12
- 基因演算法，利用C語言來實現，以求得最佳解，可以套用在MABLAT
sourcecode
- 基因演算法source code範例vc
GA_find_peaks_max
- 基因演算法,学习速成,matlab,求解peaks的最大值
chap12
- 基因演算法，利用C語言來實現，以求得最佳解，可以套用在MABLAT-Genetic algorithm using C language to realize, in order to achieve optimal solution can be applied to MABLAT
sourcecode
- 基因演算法source code範例vc-Genetic algorithm source code examples vc
GA_find_peaks_max
- 基因演算法,学习速成,matlab,求解peaks的最大值-Genetic algorithms, learning quick, matlab, solution of the maximum peaks
GA
- 利用基因演算法求线性归划中在限制的区域找出最佳解-The use of genetic algorithms for linear designated to the region in the limit to find optimal solution
genetic_jang
- 這是一個說明GA演算法的範例，可以從範例得知基因演算法的運算過程-This is a descr iption example of GA algorithm can be learned from the example of the computing process of genetic algorithm
smart_sweepers
- 基因演算法，魚和吃飼料的演算法，裡面的魚吃到飼料會越來越快。-Genetic algorithm, fish and eat feed algorithm, which will be the fish to feed more and more rapidly.
Basic_Genetic_Algorithm
- 簡單的基因演算法，輸入一個數值然後會建構出一個數學式。-Simple genetic algorithm, enter a numeric value will then construct a math-type.
GA
- 基因演算法genetic algorthim的程式實現，可利用此程式找出最佳化解-Genetic algorthim genetic algorithm implementation of the program, this program can be used to resolve the best
Fuzzy1_GA
- 一個較簡易的基因演算法程序且有註解,適合一般初學者學習-A relatively simple genetic algorithm program and have comments, suitable for beginners to learn the general
GenetiAlgorithm
- 主要是关于基因演算法里面的思想及如何实现，还有它的原理，是智能计算里面非常重要的部分-Mainly on genetic algorithms inside the thoughts and how to achieve, as well as its principles, is intelligent computing inside a very important part of the
java
- 利用基因演算法(genetic algorithm)方式求出10個node,50個node,100個node的最短路徑。-Use of genetic algorithms (genetic algorithm) method obtained 10 node, 50 个 node, 100 个 node of the shortest path.
ga123
- 基因演算法 透過PYTHON來進行編譯 出學者質得參考-Genetic algorithms through PYTHON to compile a reference scholars quality
GA
- 此為求解系統最佳化之功用，基因演算法(GA)，挑選機制:複製交配後即為突變，初新者若要學習C++的GA可用此來研究，寫得很清楚-This is the function of the system to solve the optimization, genetic algorithms (GA), the selection mechanism: after mating mutant copy, beginning a new pe
NSGAIIQQ
- 此為非凌駕排序基因演算法 NSGA-II，為求解多目標演算法，有用到資料庫即OPEN CV-This non-sorting genetic algorithm overriding NSGA-II, for solving multi-objective algorithm, that is useful to the library OPEN CV
Panggua-GA
- 此為拿一簡單之目標函數來應用基因演算法(GA)來求解，有帶題目進去，為初階之GA應用，適合初學者來學習，以100疊代結尾-This is to take a simple function of the target gene to apply algorithms (GA) to solve, go in there with a topic for elementary application of GA, suitable for
Genetic
- 此為求解最佳化流程之基因演算法，應用mathcad來編寫，mathcad為一簡易好上手之模擬軟體，若只是想跑小系統之初新者，建議使用-This is the process of solving the genetic algorithm to optimize the application mathcad to write, mathcad for a simple simulation software to use it wel
GA2
- 應用基因演算法(GA)求解敵方作戰系統指派問題，該程式碼輔皆有註譯以幫助理解，適合初學者使用。-Use the genetic algorithm (GA) to solve the problem of enemy combat system assignment, the code are accompanied by annotations to help understand, suitable for beginners to