Cross domain optimization problem with hyperheuristic approach using size stochastic move acceptance

Abstract

Cross domain optimization problem is a complex optimization problem because in each of the problem contains a different characteristic which can be solved with hyperheuristic. Hyperheuristic has two kind of search space, low-level heuristic (LLH) and move acceptance that work into the domain barrier. In this paper, an effort is made to develop a strategy in the high-level heuristic (HLH) order to regulate the selection process for the LLH and will be followed by a solution acceptance mechanism. The method that will be used is size stochastic move acceptance (SM) approach as a solution acceptance mechanism in the HLH setting, combined with the self-adaptive (SAD) LLH selection method.