When a considerable number of mutations have no effects on fitness values, the fitness landscape is said neutral. In order to study the interplay between neutrality, which exists ...
While many commercial and academic design recovery tools have been proposed over the years, assessing their relevance and comparing them is diļ¬cult due to the lack of a well-deļ...
Local search (LS) algorithms are among the most powerful techniques for solving computationally hard problems in combinatorial optimization. These algorithms could be viewed as &q...
A Robot Scientist is a physically implemented system that applies artiļ¬cial intelligence to autonomously discover new knowledge through cycles of scientiļ¬c experimentation. Ad...
In this paper, we propose an extended local search framework to solve combinatorial optimization problems with data uncertainty. Our approach represents a major departure from sce...