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Author:

Tong, Lei (Tong, Lei.) | Han, Guang (Han, Guang.) | Qiao, Junfei (Qiao, Junfei.) (Scholars:乔俊飞)

Indexed by:

EI Scopus

Abstract:

Optimal designing of the water distribution network is a multi-variable optimization problem. Due to the problem of the water distribution network, an ant colony optimization (ACO) method is proposed for designing the network. The proposed ACO set the penalty function for each node and the conversion cost of the water distribution network for goal to achieve the goal of optimal designing. During the searching process, the ACO directly selects the value from the combination of pipe diameter. The ACO is able to avoid the emergence of the pipeline diameter which can not meet the engineering requirements. Comparing with other optimal methods, the ACO has the good global searching ability and a broad application prospects. © 2011 IEEE.

Keyword:

Ant colony optimization Optimal systems Artificial intelligence Water distribution systems

Author Community:

  • [ 1 ] [Tong, Lei]College of Electronic and Control Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Han, Guang]College of Electronic and Control Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 3 ] [Qiao, Junfei]College of Electronic and Control Engineering, Beijing University of Technology, Beijing 100022, China

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Source :

Year: 2011

Issue: PART 1

Page: 366-370

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 20

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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