genopt {BurStMisc} | R Documentation |

## Genetic Optimization

### Description

Approximately minimizes the value of a function using a simple heuristic optimizer that uses a combination of genetic and simulated annealing optimization.

### Usage

```
genopt(fun, population, lower = -Inf, upper = Inf,
scale = dcontrol["eps"], add.args = NULL,
control = genopt.control(...), ...)
```

### Arguments

`fun` |
function that returns a numerical value. |

`population` |
a matrix or a list. If a matrix, then the rows correspond to the parameters and the columns are different parameter vectors. If a list, then it should have a component named "population" and
optionally a component named "objective" – in particular, it can
be the result of a call to |

`lower` |
vector giving the lower bound for parameter values. This is replicated to be as long as the number of parameters. |

`upper` |
vector giving the upper bound for parameter values. This is replicated to be as long as the number of parameters. |

`scale` |
vector of scales to use when doing local search with a solution. This is replicated to be as long as the number of parameters. |

`add.args` |
list of additional arguments to |

`control` |
an object like the output of |

`...` |
arguments for |

### Details

There is a `summary`

method for class `genopt`

which
shows the call, a summary of the set of objectives found, and the
best solution (set of parameters).

### Value

a list of class `genopt`

with the following components:

`population` |
a matrix of the same size as the input population matrix, but generally with different values in it. |

`objective` |
a vector with length equal to the number of columns of |

`funevals` |
the number of function evaluations performed.
If |

`random.seed` |
the random seed at the start of the call – given so that you can reproduce the computations. |

`call` |
an image of the call that created this object. |

### References

The original version of this function appeared in "S Poetry".

### See Also

`genopt.control`

, `summary.genopt`

.

### Examples

```
# two parameters, population size 5
go1 <- genopt(function(x, other) sum(x, other),
population=matrix(rexp(10), nrow=2, ncol=5),
lower=0, add.arg=list(other=3), trace=FALSE)
summary(go1)
go2 <- genopt(function(x, other) sum(x, other), population=go1,
lower=0, add.arg=list(other=3), trace=FALSE)
```

*BurStMisc*version 1.1 Index]