A. Tahershamsia, A. Kaveh, R. Sheikholeslamia , S. Talatahari,
Volume 2, Issue 1 (3-2012)
Abstract
The Big Bang-Big Crunch (BB–BC) method is a relatively new meta-heuristic algorithm which inspired by one of the theories of the evolution of universe. In the BB–BC optimization algorithm, firstly random points are produced in the Big Bang phase then these points are shrunk to a single representative point via a center of mass or minimal cost approach in the Big Crunch phase. In this paper, the BB–BC algorithm is presented for optimal cost design of water distribution systems and employed to optimize different types of hydraulic networks with discrete variables. The results demonstrate the efficiency of the proposed method compared to other algorithms.
R. Mansouri, M. Mohamadizadeh,
Volume 7, Issue 3 (7-2017)
Abstract
For any agency dealing with the design of the water distribution network, an economic design will be an objective. In this research, Central Force Optimization (CFO) and Differential Evolution (DE) algorithm were used to optimize Ismail Abad water Distribution network. Optimization of the network has been evaluated by developing an optimization model based on CFO and DE algorithm in MATLAB and the dynamic connection with EPANET software for network hydraulic calculation. Conclusions show CFO runtime is less than DE. While optimization of CFO (737,924 $) and DE (737,920 $) are %1.61 and %1.57 more than the absolute optimum that determined by the MILP method (726,463 $), respectively.
