X-Git-Url: https://git.creatis.insa-lyon.fr/pubgit/?p=CreaPhase.git;a=blobdiff_plain;f=octave_packages%2Fga-0.10.0%2Fdoc-cache;fp=octave_packages%2Fga-0.10.0%2Fdoc-cache;h=aa9569fb722b3ab3ddbc8625262df8a3bdecf294;hp=0000000000000000000000000000000000000000;hb=c880e8788dfc484bf23ce13fa2787f2c6bca4863;hpb=1705066eceaaea976f010f669ce8e972f3734b05

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+# Created by Octave 3.6.1, Wed Apr 18 13:13:19 2012 UTC <root@brouzouf>
+# name: cache
+# type: cell
+# rows: 3
+# columns: 9
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 18
+crossoverscattered
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 135
+ simplified example (nvars == 4)
+ p1 = [varA varB varC varD]
+ p2 = [var1 var2 var3 var4]
+ b = [1 1 0 1]
+ child = [varA varB var3 varD]
+
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 80
+ simplified example (nvars == 4)
+ p1 = [varA varB varC varD]
+ p2 = [var1 var2 va
+
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 14
+fitscalingrank
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 71
+TODO
+ranks ([7,2,2]) == [3.0,1.5,1.5]
+is [3,1,2] (or [3,2,1]) useful? 
+
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 27
+TODO
+ranks ([7,2,2]) == [3.
+
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 2
+ga
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 1866
+ -- Function File: X = ga (FITNESSFCN, NVARS)
+ -- Function File: X = ga (FITNESSFCN, NVARS, A, B)
+ -- Function File: X = ga (FITNESSFCN, NVARS, A, B, AEQ, BEQ)
+ -- Function File: X = ga (FITNESSFCN, NVARS, A, B, AEQ, BEQ, LB, UB)
+ -- Function File: X = ga (FITNESSFCN, NVARS, A, B, AEQ, BEQ, LB, UB,
+          NONLCON)
+ -- Function File: X = ga (FITNESSFCN, NVARS, A, B, AEQ, BEQ, LB, UB,
+          NONLCON, OPTIONS)
+ -- Function File: X = ga (PROBLEM)
+ -- Function File: [X, FVAL] = ga (...)
+ -- Function File: [X, FVAL, EXITFLAG] = ga (...)
+ -- Function File: [X, FVAL, EXITFLAG, OUTPUT] = ga (...)
+ -- Function File: [X, FVAL, EXITFLAG, OUTPUT, POPULATION] = ga (...)
+ -- Function File: [X, FVAL, EXITFLAG, OUTPUT, POPULATION, SCORES] = ga
+          (...)
+     Find minimum of function using genetic algorithm.
+
+     *Inputs*
+    FITNESSFCN
+          The objective function to minimize. It accepts a vector X of
+          size 1-by-NVARS, and returns a scalar evaluated at X.
+
+    NVARS
+          The dimension (number of design variables) of FITNESSFCN.
+
+    OPTIONS
+          The structure of the optimization parameters; can be created
+          using the `gaoptimset' function. If not specified, `ga'
+          minimizes with the default optimization parameters.
+
+    PROBLEM
+          A structure containing the following fields:
+             * `fitnessfcn'
+
+             * `nvars'
+
+             * `Aineq'
+
+             * `Bineq'
+
+             * `Aeq'
+
+             * `Beq'
+
+             * `lb'
+
+             * `ub'
+
+             * `nonlcon'
+
+             * `randstate'
+
+             * `randnstate'
+
+             * `solver'
+
+             * `options'
+
+     *Outputs*
+    X
+          The local unconstrained found minimum to the objective
+          function, FITNESSFCN.
+
+    FVAL
+          The value of the fitness function at X.
+
+     See also: gaoptimset
+
+
+
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 49
+Find minimum of function using genetic algorithm.
+
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 17
+gacreationuniform
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 487
+ -- Function File: POPULATION = gacreationuniform (GENOMELENGTH,
+          FITNESSFCN, OPTIONS)
+     Create a random initial population with a uniform distribution.
+
+     *Inputs*
+    GENOMELENGTH
+          The number of indipendent variables for the fitness function.
+
+    FITNESSFCN
+          The fitness function.
+
+    OPTIONS
+          The options structure.
+
+     *Outputs*
+    POPULATION
+          The initial population for the genetic algorithm.
+
+     See also: ga, gaoptimset
+
+
+
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 63
+Create a random initial population with a uniform distribution.
+
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 10
+gaoptimset
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 1242
+ -- Function File: OPTIONS = gaoptimset
+ -- Function File: OPTIONS = gaoptimset ('PARAM1', VALUE1, 'PARAM2',
+          VALUE2, ...)
+     Create genetic algorithm options structure.
+
+     *Inputs*
+    PARAM
+          Parameter to set. Unspecified parameters are set to their
+          default values; specifying no parameters is allowed.
+
+    VALUE
+          Value of PARAM.
+
+     *Outputs*
+    OPTIONS
+          Structure containing the options, or parameters, for the
+          genetic algorithm.
+
+     *Options*
+    `CreationFcn'
+
+    `CrossoverFcn'
+
+    `CrossoverFraction'
+
+    `EliteCount'
+
+    `FitnessLimit'
+
+    `FitnessScalingFcn'
+
+    `Generations'
+
+    `InitialPopulation'
+          Can be partial.
+
+    `InitialScores'
+          column vector | [] (default) . Can be partial.
+
+    `MutationFcn'
+
+    `PopInitRange'
+
+    `PopulationSize'
+
+    `SelectionFcn'
+
+    `TimeLimit'
+
+    `UseParallel'
+          "always" | "never" (default) . Parallel evaluation of
+          objective function. TODO: parallel evaluation of nonlinear
+          constraints
+
+    `Vectorized'
+          "on" | "off" (default) . Vectorized evaluation of objective
+          function. TODO: vectorized evaluation of nonlinear constraints
+
+     See also: ga
+
+
+
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 43
+Create genetic algorithm options structure.
+
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 16
+mutationgaussian
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 30
+ start mutationgaussian logic
+
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 30
+ start mutationgaussian logic
+
+
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 13
+rastriginsfcn
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 69
+ -- Function File: Y = rastriginsfcn (X)
+     Rastrigin's function.
+
+
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 21
+Rastrigin's function.
+
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 18
+selectionstochunif
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 104
+ fix an entry of the steps (or parents) vector
+assert (steps(1, index_steps) < max_step_size); ## DEBUG
+
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 80
+ fix an entry of the steps (or parents) vector
+assert (steps(1, index_steps) < m
+
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 7
+test_ga
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 69
+ -- Script File:  test_ga
+     Execute all available tests at once.
+
+
+
+
+# name: <cell-element>
+# type: sq_string
+# elements: 1
+# length: 36
+Execute all available tests at once.
+
+
+
+
+