Description: Classic genetic algorithm programming

Description: The calculation of the genetic algorithm, the calculation of genetic DNA

Description: OFDM adaptive resource allocation, we know the genetic algorithm is very common here, we compiled a genetic algorithm code for your reference

Description: genetic algorithm
leichenjian 2011-12-21 20:14:18
Description: Genetic Algorithms
cdp 2011-12-05 23:00:46
Description: This is a simple genetic algorithm program for finding minimizers of a function. I wrote this in 1999 when I was interested in aerodynamic optimization problems. I think that genetic algorithm is a very interesting optimization algorithm.
conscience 2011-12-02 18:34:14
Description: genetic algorithm based stochastic optimization search

Description: How to use the genetic algorithm C++ program to implement in order to job shop scheduling problems.
jane 2011-11-14 20:44:15
Description: CGA genetic algorithm is to complete the basic function of the genetic algorithm
dp 2011-11-10 11:33:40
Description: genetic fuzzy_m_code
quyan0908 2011-11-07 14:49:36
Description: Simulated annealing algorithm MATLAB example program! Preliminary understanding of the beginners have a good help!
cai 2011-10-24 18:43:24
Description: python language, a genetic algorithm to solve TSP problems

Description: Binary genetic algorithm

Description: Simple genetic algorithm using image matching, a basic adaptive genetic algorithm, and the standard genetic algorithm
Rafael Cavalcanti 2011-09-07 08:38:20
Description: Genetic Algorithm in Fortran code

Description: Fortran-based language for real-coded genetic algorithm, non-parallel version, there are many common selection operator, crossover operator, mutation operator is optional, and add a niche technology, to save the best individual technique. Genetic algorithms for learning helpful friends.
zhangming 2011-08-23 10:18:54
Description: Genetic Algorithms-matlab code

Description: This is a real-coded in Fortran language of genetic algorithms, and use MPI parallel implementation, which provides a rich selection operator, crossover operator, mutation operator to choose from, such as the selection operator are based gamble selection operator, no more than a few random playback selection operator, mutation operator with Gaussian mutation, adaptive mutation, in addition to the implementation of a strategy can effectively reduce the probability of premature, I have a non-MPI version of the genetic algorithm, for those who need to Contact.
CaoJunlong 2011-08-21 17:27:29
Description: Introduce the principle of genetic algorithms, processes. Detail shows crossover, mutation, selection operator. Meanwhile, the University of Sheffield also introduced the use of genetic toolbox. Genetic algorithms for beginners who book very helpful.
haomarlin 2011-08-11 16:49:04
Description: This is what I have written to achieve a local-based device driver into the thread communication methods. Need to use the device file to link the two thread which have no genetic relationship. Modify the Makefile according to your own Linux system, you can compile to get the module program. With a simple routine which is used for testing.
frank wang 2011-06-22 01:38:02
Description: Genetic algorithms are heuristic search techniques that incorporate in a computational setting, the biological notion of evolution by means of natural selection. This subroutine implements the three basic operations of selection, crossover, and mutation, operating on "genotypes" encoded as strings.
Dmitry 2011-05-27 04:57:59
Description: Genetic toolbox description
jiangtianhua 2011-05-24 17:02:27
Description: Basic genetic algorithm the basic basic basic genetic algorithm genetic algorithm genetic algorithm
tiger 2011-05-12 11:27:14
Description: Pipeline is the UNIX system and UNIX-systems support the communication mechanism, it is also inter-process communication (IPC, Inter-Process Communication) is one of the oldest forms. Pipes are half duplex, and if you want to achieve two-way communication, you need to build two pipelines. Pipeline can only be used with a genetic relationship between the process of communication, if two totally unrelated processes to communicate, you need to use named pipes, or FIFO. In this study, the parent process read data from the console, write to the pipe string. Parent process child process will be over by the tunnel system conversion case characters, and then loaded back to the parent for the character after the process. Redhat9.0 experimental environment
mshbier 2011-04-28 17:11:00
Description: genetic algoritm using matlab

Description: Pyevolve is a python implementation of genetic programming with the framework, some examples of these source code is Pyevolve