2008
DOI: 10.1061/(asce)0733-9496(2008)134:2(107)
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Ant Colony Optimization for Least-Cost Design and Operation of Pumping Water Distribution Systems

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Cited by 102 publications
(61 citation statements)
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“…Thirdly, a pump schedule, which describes when the pump is on and off during a scheduling period (e.g., 24 h). It can be specified by a pumping power [53,54] or pump head [123] at each time step, the number of pumps in operation during 24 h [97], binary pump statuses [29], continuous options representing on/off times with a limit imposed on the number of pump switches [76], discrete options representing the time at which a pump is turned on/off using a predefined time step (e.g., 30 min) [75]. All of these decisions impact on the size of the search space and eventually on the computational efficiency of the optimisation algorithm used.…”
Section: Pumpsmentioning
confidence: 99%
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“…Thirdly, a pump schedule, which describes when the pump is on and off during a scheduling period (e.g., 24 h). It can be specified by a pumping power [53,54] or pump head [123] at each time step, the number of pumps in operation during 24 h [97], binary pump statuses [29], continuous options representing on/off times with a limit imposed on the number of pump switches [76], discrete options representing the time at which a pump is turned on/off using a predefined time step (e.g., 30 min) [75]. All of these decisions impact on the size of the search space and eventually on the computational efficiency of the optimisation algorithm used.…”
Section: Pumpsmentioning
confidence: 99%
“…Hydraulic constraints given by physical laws of fluid flow in a pipe network: (i) conservation of mass of flow, (ii) conservation of energy, (iii) conservation of mass of constituent [41] System constraints given by limitations and operational requirements of a WDS, for example, minimum/maximum pressure at (demand) nodes and flow velocity in pipes, water deficit/surplus at storage tanks at the end of the simulation period, maximum water withdrawals from sources [54] (limits on nodal pressure, storage tank deficit and water withdrawals from sources), [127] (limits on pipe velocity)…”
Section: Constraintsmentioning
confidence: 99%
“…Dandy and Hassanli [14] [20]), the simulated annealing algorithm (Cunha & Sousa [21]), the shuffled leapfrog algorithm (Eusuff & Lansey [22]), ant colony optimization (Maier et al [23]; Zecchin et al [24]; Ostfeld & Tubaltzev [25]), novel cellular automata (Keedwell & Khu [26]) and the particle swarm algorithm (Suribabu & Neelakantan [27] [28]) for optimal design of water distribution systems are some of them.…”
Section: Introductionmentioning
confidence: 99%
“…However, while storage tank size has been considered with respect to minimizing WDS costs 83 (Batchabani and Fuamba 2012;Farmani et al 2006;Farmani et al 2005;Lansey and Mays 84 1989; Ostfeld and Tubaltzev 2008;Prasad 2010;Vamvakeridou-Lyroudia et al 2007;85 Vamvakeridou -Lyroudia et al 2005;Walters et al 1999;Wu et al 2010b), less consideration 86 has been given to this issue when considering the minimization of GHG emissions (Basupi et 87 al. 2013;Basupi et al 2014;Herstein et al 2011;Herstein and Filion 2011;Marchi et al 88 2014; Wu et al 2010b).…”
mentioning
confidence: 99%