Sometimes points in a map optimization run get trapped in local optima, this function tries to combat this by doing a grid search for each point individually moving points if a better optima is found. Note that this only performs grid searches individually so won't find cases where a group of points are trapped together in a local optima.

moveTrappedPoints( map, optimization_number = 1, grid_spacing = 0.25, max_iterations = 10, options = list() )

map | The acmap data object |
---|---|

optimization_number | The map optimization number to apply it to |

grid_spacing | Grid spacing in antigenic units of the search grid to use when searching for more optimal positions |

max_iterations | The maximum number of interations of searching for trapped points then relaxing the map to be performed |

options | List of named optimizer options, see |

Returns the acmap object with updated coordinates (if any trapped points found)

The search is iterative, searching for and moving points that are found to be
trapped before relaxing the map and searching again, stopping either when no
more trapped points are found or `max_iterations`

is reached.

Other map optimization functions:
`RacOptimizer.options()`

,
`make.acmap()`

,
`optimizeMap()`

,
`randomizeCoords()`

,
`relaxMapOneStep()`

,
`relaxMap()`