Longest Common Subsequence

The Longest Common Subsequence (LCS) problem aims to identify the longest sequence of elements common to a set of input sequences. Current research focuses on developing efficient algorithms and heuristics, particularly hyper-heuristics that dynamically select the best-performing algorithm based on input characteristics, to overcome the computational challenges posed by the problem's inherent complexity. These advancements are driving improvements in applications such as route optimization for shared autonomous vehicles and bioinformatics, where efficient LCS computation is crucial for tasks like genomic sequence alignment. The development of faster and more accurate LCS solutions continues to be a significant area of research with broad practical implications.