# Created by Octave 3.2.4, Tue Nov 23 12:51:58 2010 EST <mockbuild@jetta.math.Princeton.EDU.private>
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crossoverscattered
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 Author: Luca Favatella <slackydeb@gmail.com>
 Version: 6.3.2

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# length: 41
 Author: Luca Favatella <slackydeb@gmail.

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fitscalingrank
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# length: 62
 Author: Luca Favatella <slackydeb@gmail.com>
 Version: 1.3.3

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 Author: Luca Favatella <slackydeb@gmail.

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ga
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 -- 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



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Find minimum of function using genetic algorithm.

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gacreationuniform
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 -- 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



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Create a random initial population with a uniform distribution.

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gaoptimset
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 -- 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.

    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'

    `InitialScores'

    `MutationFcn'

    `PopInitRange'

    `PopulationSize'

    `SelectionFcn'

    `TimeLimit'

     See also: ga, gaoptimget



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Create genetic algorithm options structure.

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mutationgaussian
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 Author: Luca Favatella <slackydeb@gmail.com>
 Version: 1.7.1

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 Author: Luca Favatella <slackydeb@gmail.

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rastriginsfcn
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 -- Function File:  rastriginsfcn (X)
     Rastrigin's function.


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Rastrigin's function.

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selectionstochunif
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 Author: Luca Favatella <slackydeb@gmail.com>
 Version: 1.3

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 Author: Luca Favatella <slackydeb@gmail.

