accept_leftmost_improvement {designit}

Alternative acceptance function for multi-dimensional scores in which order (left to right, e.g. first to last) denotes relevance.

Description

Alternative acceptance function for multi-dimensional scores in which order (left to right, e.g. first to last) denotes relevance.

Usage

accept_leftmost_improvement(current_score, best_score, ..., tolerance = 0)

Arguments

current_score

One- or multi-dimensional score from the current optimizing iteration (double or vector of doubles)

best_score

Best one- or multi-dimensional score found so far (double or vector of doubles)

...

Ignored arguments that may be used by alternative acceptance functions

tolerance

Tolerance value: When comparing score vectors from left to right, differences within +/- tol won't immediately shortcut the comparison at this point, allowing improvement in a less important score to exhibit some influence

Value

Boolean, TRUE if current score should be taken as the new optimal score, FALSE otherwise