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={S. Sreepathi and Downey Brill and R. 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… Expand

References

SHOWING 1-6 OF 6 REFERENCES
Particle swarm optimization
TLDR
A snapshot of particle swarming from the authors’ perspective, including variations in the algorithm, current and ongoing research, applications and open problems, is included. Expand
Cyberinfrastructure for Contamination Source Characterization in Water Distribution Systems
TLDR
This paper focuses on the development of specific middleware components of the cyberinfrastructure that enables efficient seamless execution of the application core in a grid environment. Expand
Using MPI-2: Advanced Features of the Message Passing Interface
TLDR
Using MPI is a completely up-to-date version of the authors' 1994 introduction to the core functions of MPI and covers the new extensions to basic MPI, which include parallel I/O, remote memory access operations, and dynamic process management. Expand
Swarm intelligence
EPA . EPANET
  • Particle Swarm Optimization
  • 2006
The EPANET programmer's toolkit
  • proceedings of Water Resources Planning and Management Division Annual Specialty Conference
  • 1999