G-coupling functions
Daniel Morales-Silva, Alexander M. Rubinov, Wilfredo Sosa
TL;DR
This paper introduces G-coupling functions, unifying various concepts of GAP functions in optimization to leverage their shared properties for improved problem-solving.
Contribution
The paper proposes G-coupling functions as a new framework to unify and analyze different types of GAP functions in optimization.
Findings
G-coupling functions unify existing GAP concepts.
They reveal common properties among GAP functions.
Potential for enhanced optimization techniques.
Abstract
GAP functions are useful for solving optimization problems, but the literature contains a variety of different concepts of GAP functions. It is interesting to point out that these concepts have many similarities. Here we introduce G-coupling functions, thus presenting a way to take advantage of these common properties.
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