The Smith-Waterman (S-W) algorithm is a dynamic programming method for local sequence alignment, allowing for the identification of similar regions between nucleotide or protein sequences. It optimizes similarity length by comparing sequences of varying lengths and utilizes a scoring system with a substitution matrix and gap penalties, ensuring optimal local alignments are achieved. The traceback procedure starts from the highest scoring cell and continues until a score of zero is reached, revealing the most similar segments.