چکیده مقاله
One of the greatest drawbacks of GAs is that they require a high number of function evaluations to achieve convergence Each function evaluation entails a full extended period simulation of the system, which is a computationally expensive process The net result is that GA optimization is time consuming For a large distribution system a GA optimization run can take up to a few days on a modern personal computer In the study efficiency of GA operational optimization was improved through a hybrid method which combines the GA method with a hillclimber search strategy Hill climber strategies complement GAs by being efficient in finding a local optimum two hillclinber strategies, the Hooke and Jeeves and Fibonacci methods, were investigated The hybrid method proved to be superior to the pure GA in finding a good solution quickly, both when applied to a test problem and to a large existing water distribution system
کلیدواژهها
نویسندگان
Banafsheh Norouzi
The Member of Scince Group of Gorgani lamei private high training institution
Moosa Taimoury Yansary
MSc Shahid Bahonar University of Kerman
Hamid Bashiri Atrabi
MSc Shahid Bahonar University of Kerman
شیوه ارجاع
Norouzi, Banafsheh and Taimoury Yansary, Moosa and Bashiri Atrabi, Hamid,1391,Optimal management in regulation of adding materials in water distribution systems by multi-population genetic algorithm method,9th International Congress on Civil Engineering,Isfahan
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