Water cycle algorithm for solving constrained multi-objective optimization problems

- Multi-objective water cycle algorithm (MOWCA) is proposed for solving constrained and engineering multi-objective problems.
- Generational distance, metric of spread, and Δ metric are used as performance criteria.
- Optimal Pareto fronts are finely covered by the MOWCA with a good distribution of the non-dominated solutions.
- MOWCA is able to approach a full optimal Pareto front and provide a superior quality of solutions.
- MOWCA is better able to find a wider range of solutions compared with the other optimizers in this paper.