This research is an implementation of the Water Cycle Algorithm (WCA) to solve the biobjective
Travelling Salesman Problem, based on the kroAB100 problem in the TSPLIB
library, and compare its performance to an alternative metaheuristic algorithm (MO Ant
Colony BiCriterionAnt). Metrics such as generational distance, inverse generational distance,
spacing, dispersion and maximum dispersion were used to compare the two algorithms.
Results demonstrate that the Water Cycle Algorithm generates superior solutions to this
category of problem according to most of the metrics.