A-Z Index of Functions in Directory geatbx/

Global Index (all files) (short | long) | Local contents | Local Index (files in subdir) (short | long)

NameDescription

B
bin2intBINary string to INTeger string conversion
bin2realBINary string to REAL vector conversion
bindecodBINary DECODing to binary, integer or real numbers

C
compdivCOMPute DIVerse things of GEA Toolbox
competeCOMPETition between subpopulations
complocCOMPute LOCal model things of toolbox
compplotCOMPute PLOT things of GEA Toolbox

G
geamain2MAIN function for Genetic and Evolutionary Algorithm toolbox for matlab
GEATbxReleaseNotesRelease Notes of the GEATbx

I
initbpCReaTe an initial Binary Population
initipCReaTe an initial (Integer value) Population
initpopINITialization of POPulation (including innoculation)
initppCreate an INITial Permutation Population
initrpINITialize an Real value Population

M
migrateMIGRATion of individuals between subpopulations
mutatehigh level MUTATion function
mutbinMUTation for BINary representation
mutbmdreal value Mutation like Discrete Breeder genetic algorithm
mutcombMUTation for combinatorial problems
mutes1MUTation by Evolutionary Strategies 1, derandomized Self Adaption
mutes2MUTation by Evolutionary Strategies 2, derandomized self adaption
mutexchMUTation by eXCHange
mutintMUTation for INTeger representation
mutinvertMUTation by INVERTing variables
mutmoveMUTation by MOVEing variables
mutrandMUTation RANDom
mutrandbinMUTation RANDom of binary variables
mutrandintMUTation RANDom of integer variables
mutrandpermMUTation RANDom of binary variables
mutrandrealMUTation RANDom of real variables
mutrealreal value Mutation like Discrete Breeder genetic algorithm
mutswapMUTation by SWAPping variables
mutswaptypMUTation by SWAPping variables of identical type

P
path_geaSet all paths for the GEA toolbox (Matlab search path)

R
rankgoalperform goal preference calculation between multiple objective values
rankingRANK-based fitness assignment, single and multi objective, linear and nonlinear
rankpltRANK two multi objective values Partially Less Than
rankshareSHARing between individuals
recdisRECombination DIScrete
recdpRECombination Double Point
recdprsRECombination Double Point with Reduced Surrogate
recgpRECombination Generalized Position
recintRECombination extended INTermediate
reclinRECombination extended LINe
reclinexEXtended LINe RECombination
recmpRECombination Multi-Point, low level function
recombinhigh level RECOMBINation function
recpmRECombination Partial Matching
recshRECombination SHuffle
recshrsRECombination SHuffle with Reduced Surrogate
recspRECombination Single Point
recsprsRECombination Single Point with Reduced Surrogate
reinshigh-level RE-INSertion function
reinslocRE-INSertion of offspring in population replacing parents LOCal
reinsregREINSertion of offspring in REGional population model replacing parents

S
selectionhigh level SELECTion function
sellocalSELection in a LOCAL neighbourhood
selrwsSELection by Roulette Wheel Selection
selsusSELection by Stochastic Universal Sampling
seltourSELection by TOURnament
seltruncSELection by TRUNCation

T
tbx3binToolBoX function to define parameters for optimization of binary variables
tbx3compToolBoX function to define parameters for COMPeting subpopulation
tbx3es1ToolBoX function to define parameters for locally oriented optimization of real variables
tbx3guifun1ToolBoX function to define parameters for optimization, test of gui
tbx3intToolBoX function to define parameters for optimization of integer variables
tbx3moo1ToolBoX function to define parameters for multi-objective optimization 1
tbx3outputToolBoX function to define parameters for output on screen (visualization)
tbx3output2ToolBoX function to define parameters for output on screen (visualization) 2
tbx3permToolBoX function to define parameters for optimization of permutation variables
tbx3plot1ToolBoX function to define parameters for grafical display options
tbx3realToolBoX function to define parameters for optimization of real variables
tbx3sgaToolBoX function to define parameters for the Simple Genetic Algorithm (SGA)
tbx3silentToolBoX function to define parameters for no textual and graphical output during an optimization
tbx3steadygaToolBoX function to define parameters for the Steady State Genetic Algorithm (SSGA)
tbx3textlessToolBoX function to define parameters for a silent optimization (minimal output on screen)
terminatTERMINATion function
toolboxpathSet all paths for GEA toolbox (old version, obsolete, use path_gea instead)

GEATbx: Main page  Tutorial  Algorithms  M-functions  Parameter/Options  Example functions  www.geatbx.com 

This document is part of version 3.8 of the GEATbx: Genetic and Evolutionary Algorithm Toolbox for use with Matlab - www.geatbx.com.
The Genetic and Evolutionary Algorithm Toolbox is not public domain.
© 1994-2006 Hartmut Pohlheim, All Rights Reserved, (support@geatbx.com).