WDSOP
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.
Cite As
Mehdi Neshat (2024). WDSOP (https://github.com/a1708192/WDSOP), GitHub. Retrieved .
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Version | Published | Release Notes | |
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1.0.0 |
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