Add to ORKGThe application of a genetic algorithm to an industrial pipe-sizing problem is presented. The optimum sizes for the pipes in a given network with specified supply and demand requirements must be determined, subject to two additional constraints. The problem was used as a test case for the evolutionary computing language RPL2. The genetic approach is shown to produce better results than the existing industrial heuristic at the expense of longer run times
Water is the most essential commodity required to maintain life. Water supplies in general and water...
An improved genetic algorithm (GA) formulation for pipe network optimization has been developed. The...
The past decade has marked the development of computational capacity that far exceeds the capacity o...
This paper utilizes a stochastic optimization approach using genetic algorithms, for conducting rigo...
Extensive work has been reported for the optimization of water distribution networks (WDNs) using di...
Abstract- We has presented a methodology for the application of genetic algorithm technique to pipel...
grantor: University of TorontoMillions of dollars are spent each year on water distributio...
A genetic algorithm (GA) model for the optimum layout and optimum hydraulic design of a branched pip...
A distribution system can be analyzed using either model-simulation programs or system-optimization ...
Sizing distribution equipment of a district heating (DH) network is a complex yet decisive process t...
In the present paper, Evolutionary Algorithms (EAs) computing techniques have been used for economic...
Abstract:-The paper describes the development of a genetic algorithm (GA) formulation by using real ...
AbstractIn the present paper, Evolutionary Algorithms (EAs) computing techniques have been used for ...
The pipe sizing of water networks via evolutionary algorithms is of great interest because it allows...
This study gives a description about the development of a computer model, RealPipe, which relates ge...
Water is the most essential commodity required to maintain life. Water supplies in general and water...
An improved genetic algorithm (GA) formulation for pipe network optimization has been developed. The...
The past decade has marked the development of computational capacity that far exceeds the capacity o...
This paper utilizes a stochastic optimization approach using genetic algorithms, for conducting rigo...
Extensive work has been reported for the optimization of water distribution networks (WDNs) using di...
Abstract- We has presented a methodology for the application of genetic algorithm technique to pipel...
grantor: University of TorontoMillions of dollars are spent each year on water distributio...
A genetic algorithm (GA) model for the optimum layout and optimum hydraulic design of a branched pip...
A distribution system can be analyzed using either model-simulation programs or system-optimization ...
Sizing distribution equipment of a district heating (DH) network is a complex yet decisive process t...
In the present paper, Evolutionary Algorithms (EAs) computing techniques have been used for economic...
Abstract:-The paper describes the development of a genetic algorithm (GA) formulation by using real ...
AbstractIn the present paper, Evolutionary Algorithms (EAs) computing techniques have been used for ...
The pipe sizing of water networks via evolutionary algorithms is of great interest because it allows...
This study gives a description about the development of a computer model, RealPipe, which relates ge...
Water is the most essential commodity required to maintain life. Water supplies in general and water...
An improved genetic algorithm (GA) formulation for pipe network optimization has been developed. The...
The past decade has marked the development of computational capacity that far exceeds the capacity o...