Published 2018
“…Seven performance indexes were examined to evaluate the performance of the proposed Muskingum model integrated with IBA, with other models that were also based on the Muskingum Model with three-parameters but utilized different optimization
algorithms. The results for the Wilson flood showed that the proposed model could reduce the Sum of Squared
Deviations (SSD) value by 89%, 51%, 93%, 69%, and 88%, compared to the Genetic
Algorithm (GA), Particle Swarm Optimization (PSO)
algorithm,
Pattern Search (PS)
algorithm, Harmony Search (HS)
algorithm, and Honey
Bee Mating Optimization (HBMO), respectively. …”
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