SGALAB 1003 Beta 5.0.0.8( Matrix Varaible Inputs )

Genetic Algorithms Toolbox for Multi-Objective Problems with Fuzzy Logic Controller Applications

SGALAB 1003 Beta 5.0.0.8( Matrix Varaible Inputs )

1) N points crossover and mutation

2) tournament selection is ACTIVE now

3) Accept matrix variable inputs, see files with key word "_MATRIX_"
e.g. AX = B , A is 1000*30 matrix, fitness = min|Ax-b|

4)obsolete SGA_FITNESS_MO_function.m
use SGA_FITNESS_function.m for Both single and multi objective problem

5)update documents

6) other support files, p files
http://cid-d57a82c3583fcfb1.skydrive.live.com/self.aspx/SGALAB/SGALAB1003beta5008^_agriculture.zip

SGALAB 1003 Beta 5.0.0.7

1) Fix SGA_FITNESS_MO_evaluating() error report -- urgent PR
2) update 2DOF semi-active suspension system modelling in 2DOF_suspension_modelling.jpg
3) add figures in \figs

SGALAB 1003 Beta 5.0.0.6

1) Add Fuzzy logic control rule-base rotation function
2) update SGALAB_FAQ_QuickStart_2.pdf
3) add Lyapunov function

SGALAB 1003 Beta 5.0.0.5

1) Add Micro-GA (muGA) method for Single Objective and Multi-Objective Problem
2) Add Mendel Operator for Single Objective and Multi-Objective Problem
3) add SGALAB_FAQ_QuickStart_2.pdf
4) update SGALAB_FAQ_Genetic Algorithms Brief.pdf

SGALAB 1003 Beta 5.0.0.4

1) Fix SGALAB_demo_TSP_13cities - urgent PR
Variable '1./fitness_plot_max' not found error
2) Fix save figures error - urgent PR

SGALAB 1003 Beta 5.0.0.3
1) Fix SGALAB_demo_MO_showall running errors
2) Fix SGA__suspension figure bugs
3) Add multi-axes plots in one figure
4) Add SGALAB_FAQ_Genetic Algorithms Brief
5) Add SGALAB_GTS_SemiactiveSuspension