Parallel Multi-Swarm Optimization Framework for Search Problems in Water Distribution Systems

@inproceedings{Sreepathi2012ParallelMO,
  title={Parallel Multi-Swarm Optimization Framework for Search Problems in Water Distribution Systems},
  author={Sarat Sreepathi and Downey Brill and Ranji S. Ranjithan and G. Mahinthakumar},
  year={2012}
}
Population based heuristic search methods such as evolutionary algorithms (EA) and particle swarm optimization (PSO) methods are widely used for solving optimization problems especially when classical techniques are inadequate. A parallel optimization framework using multiple concurrent particle swarms is developed and applied to water distribution problems. Details of the enabling framework that couples the optimization methods with a parallel simulator built around EPANET will be discussed… 

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