Correct option is (b) This method is quite similar to the Smith-Waterman local alignment algorithm
The best I can explain: This method is different from the Smith-Waterman local alignment algorithm in identifying the most probable (maximum likelihood probability alignment) based on an evolutionary model of change in sequences, as opposed to a score based on observed substitutions in related proteins and a gap scoring system. An example for option d can be–a given nucleotide at any sequence position can mutate into another at the same rate or may not change at all during a period of evolutionary time.