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SGALAB 1003 Beta 5.0.0.8( Matrix Varaible Inputs )

version 1.7 (16.7 MB) by

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

4.67391
50 Ratings

4 Downloads

Updated

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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

Comments and Ratings (60)

jx zhang

the support p files can't be download at http://cid-d57a82c3583fcfb1.skydrive.live.com/self.aspx/SGALAB/SGALAB1003beta5008^_agriculture.zip

please send the support p files to b2005zjx@163.com, thank you.

Leo Chen

Leo Chen (view profile)

the mathworks does not permit to upload p files in file exchange, so the support p files are here:

http://cid-d57a82c3583fcfb1.skydrive.live.com/self.aspx/SGALAB/SGALAB1003beta5008^_agriculture.zip

jia

jia (view profile)

Where is "SGA__entry_SO_std"? I do not see it in the folder

Kegong Diao

Many thanks to you!

Rui Huang

great stuff

zheng

zheng (view profile)

LAN LEI

liudaohai liudaohai

It is an excellent work. However, the author may consider to distribute the m files instead of p files.

ANON terry

Excellent

thangjam singh

It is exactly what i have been looking for.It is going to help me a lot.You are great.Thanks a lot.

fei shao

thank you very much. all you have done is beyond my image, it's great!

feng shi gang

very good

Diao Dongyu

thanks a lot,it's so great!!

jin jiefang

thanks!

Afandi Dzakaria

Brilliant Job! 5 *****

vimal savsani

I am a PhD student working for non traditinal optimization technique.I have downloaded the matlab version for NSGA2 and I think it will be of great use to me.

shark Liu

Can you upload randint function here? Thanks!

feng shigang

very good

Liu Yang

Author: Yi Chen had answered my question Patientlly. I'm so Careless. Everyone should see the QuickStart.pdf carefully. The answers of all your questions are there.

Liu Yang

Help!!!!Urgent!!!!Who can tell me how to use "SGA_FITNESS_MO_function.m"? I want to define my 2 inputs Fitness function. But "SGA_FITNESS_MO_function.m" only work with single input. I set the function as "[ MO_fitness_array ] = SGA_FITNESS_MO_function( x1 , x2, x3 )" depending on the Usage, But it does't work. Erro says "Undefined x2".

jie lee

glad to find it,very helpful to me,making the work easy

feng shigang

very good

feng shigang

very helpful

Xin Yu

Very excellent package!Convenient to use!Make my research easy! Thank you!

ping zou

thank you for your great job!

Rafi Chamlawi

Sung Kim

Very excellent package of Multi objective genetic algorithms. Also very kind updates responsive to users

lu kang

the toolbox is so helpfull to me, thanks for the great job you have done, thank you

hanife usta

feng shigang

very helpful

feng shigang

helpful

feng shigang

very useful

feng shigang

vera chen

Ranjit Kumar Barai

Very useful toolbox for the teachers of EA as well as learners. Researchers will be greatly benifited from this toolbox. To the best of my knowledge, as of now no such Matlab toolbox exists that can handle constraints as well as multiple objectives of NSGA-II algorithm. It is an excellent work. However, the author may consider to distribute the m files instead of p files, in that case the users may contribute further for this toolbox. Trillions of tanks to the author for creating such a nice tolbox.

feng shigang

feng shigang

this is very helpful for multi-objective optimization

SrBlessy CHF

weidong wu

Sushil Mishra

This is really very helpful for dealing with genetic Algirithms

w lp

good

ren na

Thank you a lot!

li l

very good!

li qiang

Thank you very much!

Wei Fan

wu ke

zy fired

wu qiuli

bouzouada abdallah

i need your help

LingQi Kong

jing li

very good

ming meng

good and

xiaobo zhang

thanks

Zhipeng Gao

Good

Angel Liang

good

Fidel Alex

ionescu mihaela

chintan bhatt

Updates

1.7

1) N points crossover and mutation
2) tournament selection is ACTIVE now
3) Accept matrix variable inputs,
4)obsolete SGA_FITNESS_MO_function.m, use SGA_FITNESS_function.m for Both single and multi objective problem

1.5

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

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

1) Update SGALAB_FAQ_User's Guide.pdf
3) Add Pareto Front plots

SGALAB 1003 Beta 5.0.0.1
1) Update SGALAB_FAQ_WhatisGAs.pdf
2) Add SGALAB_FAQ_QuickStart.pdf
3) Addpassive suspension model of FLC and skyhook,
and GA+FLC and GA+Skyhook control will be avialable in SGALAB 1003 Beta 6

update from Beta4.0.0.1 to Beta5

To Fix SGALAB1003 Beta4 13TSP Cities Demo PR

Update from beta3 to beta4

update from beta2 to beta3

SGALAB 1003 Update from Beta2 to Beta3

SGALAB1003 Beta2 is the updated version of SGA_Pro, and the name will be changed from SGA_pro to SGALAB from version 1003, namely, Simple Geneitc Algorithms Laboratory

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