WDSOP

Covariance Matrix Adaptation Greedy Search Applied to Water Distribution System Optimization

This Matlab code proposes a new hybrid evolutionary framework that consists of three distinct phases. The first phase applied CMA-ES, a robust adaptive meta-heuristic for continuous optimisation. This is followed by an upward-greedy search phase to remove pressure violations. Finally, a downward greedy search phase
is used to reduce oversized pipes. To assess the effectiveness of the hybrid method, it was applied to
five well-known WDSs case studies. The results reveal that the new framework outperforms CMA-ES
by itself and other previously applied heuristics on most benchmarks in terms of both optimisation
speed and network cost.