The application of simulation optimization in water distribution network analysis and design is a promising method for generating solutions to existing challenges. The absence of a standard interface for coupling the open source EPANET software package to optimization algorithms increases the implementation effort and limits the comparison of results. This work presents a methodology for implementing an interface for coupling optimization algorithms with EPANET. The proposed technique uses the internal simulation clock events in a discrete event simulation platform to co-ordinate optimization loops and data exchange. The utilization of intermediate input/output files is avoided in order to increase the simulation speed. A water distribution network implemented in the EPANET solver is considered as a discrete event to be interfaced with optimization algorithms. The interface module is implemented as a C/C++ mex-file for EPANET in the MATLAB/Simulink platform. The methodology enables the user to evaluate the fitness of the design parameters with easy access to data logging and visualization tools at run-time. The proposed technique is used to implement the particle swarm optimization algorithm (PSO) and applied to design a benchmark water distribution network.
Reference:
Letting, LK, Hamam, Y and Abu-Mahfouz, Adnan MI. An interface for coupling optimization algorithms with EPANET in discrete event simulation platforms. 2017 IEEE 15th International Conference on Industrial Informatics (INDIN), 24-26 July 2017, Emden, Germany, 6pp.
Letting, L., Hamam, Y., & Abu-Mahfouz, A. M. (2017). An interface for coupling optimization algorithms with EPANET in discrete event simulation platforms. IEEE. http://hdl.handle.net/10204/10371
Letting, LK, Y Hamam, and Adnan MI Abu-Mahfouz. "An interface for coupling optimization algorithms with EPANET in discrete event simulation platforms." (2017): http://hdl.handle.net/10204/10371
Letting L, Hamam Y, Abu-Mahfouz AM, An interface for coupling optimization algorithms with EPANET in discrete event simulation platforms; IEEE; 2017. http://hdl.handle.net/10204/10371 .
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