A genetic algorithm(GA) using integer coding and node-based crossover metho
d, and its application in studying the chemical subgraph isomorphism were d
escribed in this paper, An initial population of random chromosomes represe
nting the mapping between target structure and query structure nodes is evo
lved by the GA to better solutions until an optimal solution, the correct m
apping, is found, Both the chemical subgraph isomorphism and the multi-sulg
raph isomorphism were implemented.