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

- -

• feature selection 1
• MAXONE problem 1
• multi-objective optimization 1, 2
• simple genetic algorithm 1

- A -

• absolute position 1
• absolute relation 1
• Ackley's Path function
• visualization 1
• adaptation of strategy parameters 1
• mutation step sizes 1
• search direction 1
• aggregation
• multiple objectives 1
• analogy to fitness assignment 1
• application of different strategies 1
• Axis parallel hyper-ellipsoid function
• visualization 1

- B -

• Banana function
• visualization 1
• binary
• parameter optimization 1
• representation 1
• boundaries 1, 2
• boundaries (objexample1) 1
• Branins's rcos function
• visualization 1

- C -

• classification of optimization problem 1
• coding
• binary variables 1
• combination of integer and binary variables 1
• combination of operators 1
• combinatorial optimization 1
• competing subpopulations 1
• competition between subpopulations 1, 2
• competition interval 1, 2
• Competition options 1
• competition rate 1, 2
• competition selection 1
• Competition.Do 1
• Competition.Interval 1
• Competition.Rate 1
• Competition.SubpopMinimum 1
• consumption factor 1
• conversion of variables 1
• conversion
• variable representations 1
• correlation between variables 1, 2

- D -

• De Jong's function 1
• visualization 1
• De Jong's function 2
• visualization 1
• decoding of binary variables 1
• Decreasing system size/dimension 1
• definition of additional parameters 1
• definition of input data 1
• definition of output data 1
• definition range of the variables 1
• demo
• demofun1 1
• demogeatbx 1
• dependencies between operators 1
• determination of successful strategies 1
• different representations 1, 2
• dimension of problem 1
• dimensionality of a problem 1
• discrete recombination 1, 2
• distribution of resources 1
• distribution of the computational resources 1
• distribution pressure 1
• dividing the optimization problem into multiple tasks 1
• division of resources 1, 2
• dynamic distribution of resources 1

- E -

• Easom's function
• visualization 1
• elitest selection 1, 2
• elitist strategy 1
• Entwicklung spezieller Operatoren 1
• evolution strategies 1
• extended competition model 1

- F -

• fine mutation 1
• fine search 1
• fitness assignment 1, 2, 3
• multi-objective 1, 2
• fitness sharing 1
• fitness values 1

- G -

• generalized position recombination 1
• generally adjustable procedures and operators 1
• generation gap 1, 2
• genetic algorithm
• simple 1
• genetic algorithms 1, 2
• genetic drift 1
• genotype 1
• binary 1
• globally oriented parameter optimization 1, 2
• goal programming 1
• Goldstein-Price's function
• visualization 1
• GPX 1
• Griewangk's function
• visualization 1

- I -

• initial step size 1
• Initialization options 1
• innoculation 1
• integer representation 1
• interactive testing 1
• invert mutation 1
• investigation of system behavior 1
• isolation period 1
• isolation time 1

- J -

• job shop scheduling 1, 2
• JSS 1, 2, 3

- L -

• Langermann's function
• visualization 1
• less successful subpopulation 1
• linear ranking 1
• local minima 1
• locally oriented parameter optimization 1, 2

- M -

• method of inequalities 1
• Michalewicz's function
• visualization 1
• Migration options 1
• migration rate 1
• migration structure 1
• migration time 1
• Migration.Do 1
• Migration.Interval 1
• Migration.Rate 1
• Migration.Selection 1
• Migration.Topology 1
• MOI 1
• move mutation 1
• Moved axis parallel hyper-ellipsoid function
• visualization 1
• multi-criteria problems 1
• multi-dimensional visualization 1
• multi-objective fitness assignment 1, 2
• multi-objective optimization 1, 2, 3, 4, 5
• aggregation 1
• goal 1
• goal programming 1
• method of inequalities 1
• PARETO-ranking 1
• scalarization method 1
• sharing 1
• weighted sum 1
• multi-objective ranking 1, 2, 3
• multiple objective values 1, 2
• multiple representations 1, 2
• Mutation options 1
• mutation precision 1, 2
• mutation range 1, 2, 3, 4
• mutation rate 1, 2, 3
• Mutation.Name 1
• Mutation.Precision 1
• Mutation.Range 1
• Mutation.Rate 1
• mutation
• fine 1
• integer variables 1
• real variables 1
• rough 1

- N -

• non-linear ranking 1
• number of variables (objexample1) 1
• NumberIndividuals 1
• NumberSubpopulation 1

- O -

• objective function 1
• Objective function options 1
• objective function properties 1
• objective function
• implementation (example) 1
• implementation (objexample1) 1
• special return values 1
• one-dimensional slices 1
• optimization options (objexample1) 1
• optimization
• multi-objective 1, 2
• options
• default 1
• order of subpopulations 1
• weighted 1
• Output options 1
• Output.GrafikInterval 1
• Output.GrafikMethod 1
• Output.GrafikStyle 1
• Output.SaveBinDataFileName 1
• Output.SaveBinDataInterval 1
• Output.SaveTextExclude* 1, 2
• Output.SaveTextFileName 1
• Output.SaveTextInterval 1, 2
• Output.StatePlotFunction 1
• Output.StatePlotInterval 1
• Output.TextExclude* 1, 2
• Output.TextInterval 1, 2
• output
• graphical - during an optimization 1
• graphical - first obj. function 1
• text - during an optimization 1
• text - end of optimization 1
• text - start of optimization 1

- P -

• parameter identification 1
• parameter optimization 1
• binary 1
• globally oriented 1, 2
• locally oriented 1
• binary variables 1
• different representations 1, 2
• locally oriented 1
• PARETO- dominance 1
• PARETO-optimality 1
• PARETO-ranking 1
• partial matching crossover 1
• phenotype 1
• integer 1
• real 1
• plt 1
• PMX 1
• population size 1
• premature convergence 1
• pretty print 1
• problem classes 1, 2
• problem-specific visualization 1
• production scheduling 1
• prprintf 1

• QAP 1, 2

- R -

• rank of subpopulation 1, 2
• rank-based fitness assignment 1
• ranking 1
• Ranking 1
• ranking
• multi-objective 1, 2
• Rastrigin's function
• visualization 1
• Recombination options 1
• recombination rate 1, 2
• Recombination.Name 1
• Recombination.Rate 1
• recombination
• generalized position 1
• partial matching 1
• reduced surrogate 1
• reduction of number of variables 1
• regional population model 1
• relative relation 1
• representation
• binary 1, 2
• conversion 1
• different 1, 2
• integer 1, 2
• integer and binary 1
• multiple 1, 2
• ordering 1
• permutation 1
• real 1, 2
• real and integer and binary 1
• resource consumption 1, 2
• resources 1
• Result options 1
• robust parameterization 1
• Rosenbrock's function
• visualization 1
• Rotated hyper-ellipsoid function
• visualization 1
• rough mutation 1
• rough search 1
• run time options 1
• Run.BestObjectiveValue 1
• Run.CountObjFun 1
• Run.DoTerminate 1
• Run.Generation 1

- S -

• Sammon-Mapping 1
• scalability of problem 1
• scalarization method 1
• Schwefel's function
• visualization 1
• scramble mutation 1
• search space 1
• selection 1
• Selection options 1
• Selection.GenerationGap 1
• Selection.LocalDimension 1
• Selection.LocalDistance 1
• Selection.LocalTopology 1
• Selection.Name 1
• Selection.Pressure 1
• Selection.RankingMethod 1
• Selection.RankingMultiobj 1
• Selection.ReinsertionMethod 1
• Selection.ReinsertionRate 1
• selection
• elitest 1
• truncation selection 1
• SGA 1, 2
• sharing 1
• simple genetic algorithm 1
• simulation of several data records 1
• single-objective optimization 1
• Six-hump camel back function
• visualization 1
• size of a problem 1
• solving optimization problems 1
• special procedures and operators 1
• Special.CollectBest.Compare 1
• Special.CollectBest.FileName 1
• Special.CollectBest.Interval 1
• Special.CollectBest.Rate 1
• Special.CollectBest.WriteFile 1
• Special.InitDo 1
• Special.InitFunction 1
• Special.InitPresetKeep 1
• Special.InitPresetRand 1
• Special.InitUniformCreate 1
• status
• during run 1
• result 1
• steady state genetic algorithm 1
• subdividing an optimization problem 1
• subpopulation minimum 1, 2
• success of subpopulation 1
• Success of subpopulations 1
• successful subpopulation 1
• Sum of different power function
• visualization 1
• supplementary strategies 1
• swap mutation 1
• System.ObjFunDescription 1
• System.ObjFunFilename 1
• System.ObjFunGoals 1
• System.ObjFunMinimum 1
• System.ObjFunVarBoundOut 1
• System.ObjFunVarBounds 1

- T -

• Termination options 1
• Termination.Cluster 1
• Termination.Diff2Optimum 1
• Termination.GoodWorstObjV 1
• Termination.Kappa 1
• Termination.MaxGenerations 1
• Termination.MaxTime 1
• Termination.Method 1
• Termination.Phi 1
• Termination.RunningMean 1
• Termination.StdObjV 1
• text output 1
• traveling sales person 1
• travelling sales person 1
• truncation selection 1
• TSP 1, 2, 3
• two-dimensional slices 1

- V -

• VariableFormat 1, 2, 3, 4
• vehicle routing problem 1
• vehicle routing problems 1
• Visualization options 1
• VLUB 1
• VRP 1, 2

- W -

• way through solution domain 1
• way through the search space 1
• weighted sum 1

- X -

• XCS819

 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.