Assessment of a parallel evolutionary optimization approach for efficient management of coastal aquifers
We develop an efficient parallel evolutionary decision model to solve coastal aquifer problems. The performance of both parallelization and evolutionary optimization is examined. The method is applied to a large-scale case study in the Persian Gulf. A speedup ratio from 1.50 to 3.53 is achieved using a 2- to 8-core processor. Ant colony optimization outperforms other algorithms tested in both solution quality and computational time criteria.
the persian gulf combined simulation-optimization evolutionary algorithms numerical modelling parallel processing