Abstract: Real-world optimization problems are becoming increasingly complex and require effective and versatile algorithms to provide reliable solutions. However, the no-free-lunch theorem indicates ...

Abstract: The traditional Rapidly-exploring Random Tree (RRT) algorithm suffers from excessive randomness, a high proportion of invalid samples, and slow convergence. To address these issues, this ...