scholarly journals A combined NLP-differential evolution algorithm approach for the optimization of looped water distribution systems

2011 ◽  
Vol 47 (8) ◽  
Author(s):  
Feifei Zheng ◽  
Angus R. Simpson ◽  
Aaron C. Zecchin
Keyword(s):  
Differential Evolution ◽  
Distribution Systems ◽  
Water Distribution ◽  
Water Distribution Systems ◽  
Differential Evolution Algorithm ◽  
Evolution Algorithm

scholarly journals Differential evolution algorithm for optimal design of water distribution networks

2009 ◽  
Vol 12 (1) ◽  
pp. 66-82 ◽  
Author(s):  
C. R. Suribabu
Keyword(s):  
Genetic Algorithm ◽  
Differential Evolution ◽  
Water Distribution ◽  
Differential Evolution Algorithm ◽  
Water Distribution Network ◽  
Distribution Networks ◽  
Good Alternative ◽  
Water Distribution Networks ◽  
Stochastic Methods ◽  
Evolution Algorithm

Water distribution networks are considered as the most important entity in the urban infrastructure system and need huge investment for construction. The inherent problem associated with cost optimisation in the design of water distribution networks is due to the nonlinear relationship between flow and head loss and availability of the discrete nature of pipe sizes. In the last few decades, many researchers focused on several stochastic methods of optimisation algorithms. The present paper is focused on the Differential Evolution algorithm (henceforth referred to as DE) and utilises a similar concept as the genetic algorithm to achieve a goal of optimisation of the specified objective function. A simulation–optimisation model is developed in which the optimization is done by DE. Four well-known benchmark networks were taken for application of the DE algorithm to optimise pipe size and rehabilitation of the water distribution network. The findings of the present study reveal that DE is a good alternative to the genetic algorithm and other heuristic approaches for optimal sizing of water distribution pipes.

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