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Results for two sample networks in the literature are included that show the algorithm is stable and finds optimal and near-optimal solutions reliably and efficiently. The results also suggest that the evolutionary sampling efficiency is very high. In other words, the number of solutions evolved and analysed on average before finding a near-optimal solution is small in comparison to the total number of feasible and infeasible solutions. We found better solutions than those reported previously in the literature for the two networks considered. For the Kadu network, for example, the new best solution costs Rs125,460,980 – a significant improvement. Additional statistics that are based on extensive testing are included.
- multi-objective evolutionary optimization
- pressure-dependent analysis
- water distribution system
- genetic algorithm
- hydraulic reliability
- penalty-free boundary search
PF-MOEA: Penalty-free feasibility boundary-convergent multi-objective evolutionary approach for water distribution
1/10/09 → 31/03/13
31 May 2016, In : Water Resources Management. 30, 10, p. 3535–3552 18 p.
Research output: Contribution to journal › ArticleOpen AccessFile16 Citations (Scopus)69 Downloads (Pure)
Investigation into the pressure-driven extension of the EPANET hydraulic simulation model for water distribution systemsSeyoum, A. G. & Tanyimboh, T. T., 29 Sep 2016, In : Water Resources Management. 17 p.
Research output: Contribution to journal › ArticleOpen AccessFile8 Citations (Scopus)153 Downloads (Pure)
Multi-directional maximum-entropy approach to the evolutionary design optimization of water distribution systemsSaleh, S. H. A. & Tanyimboh, T. T., 30 Apr 2016, In : Water Resources Management. 30, 6, p. 1885–1901 17 p.
Research output: Contribution to journal › ArticleOpen AccessFile13 Citations (Scopus)41 Downloads (Pure)