The SUMO toolbox  2018a
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genNewOptimizationSeed.m File Reference

Functions

function genNewOptimizationSeed (var searchHistory, var scores, var reliability, var numNew, var LB, var UB)
 Given a history of previous model parameter optimization runs, a set of scores (lower is better, >= 0) where each score corresponds to each point in the history, and a measure of how reliable each run in the history is (in [0 1]), predict the n most interesting starting points for a new optimization. More...
 

Detailed Description

Authors
SUMO Lab Team
Version
2018a
Date
Copyright 2006-2018

This file is part of the Surrogate Modeling Toolbox ("SUMO Toolbox") and you can redistribute it and/or modify it under the terms of the GNU Affero General Public License version 3 as published by the Free Software Foundation. With the additional provision that a commercial license must be purchased if the SUMO Toolbox is used, modified, or extended in a commercial setting. For details see the included LICENSE.txt file. When referring to the SUMO Toolbox please make reference to the corresponding publication:

Contact : sumo@.nosp@m.sumo.nosp@m..inte.nosp@m.c.ug.nosp@m.ent.b.nosp@m.e - http://sumo.intec.ugent.be Signature seed = genNewOptimizationSeed(searchHistory, scores, reliability, numNew, LB, UB )

Function Documentation

function genNewOptimizationSeed ( var  searchHistory,
var  scores,
var  reliability,
var  numNew,
var  LB,
var  UB 
)

Given a history of previous model parameter optimization runs, a set of scores (lower is better, >= 0) where each score corresponds to each point in the history, and a measure of how reliable each run in the history is (in [0 1]), predict the n most interesting starting points for a new optimization.

LB, UB denote the lower and upperbounds of the search space.