Optimal Design Of Water Distribution Network For Multiple Operations Based On Improved Genetic Algorithm

As the city enlargement and supply management level of development of unceasing enhancement, water supply network system planning design before also had high compared to the starting point and requirements, therefore are urgently needed new planning methods or optimization design.Current network optimization design are usually based on a single modes of the single objective or multi-objective optimization model, ignoring other conditions such as an average, fire, such as the operation condition of accidents constraints, so that those optimization models do not belong to global optimization results. Moreover, the some target of existing multi-objective function optimization models, such as safety and reliability of the quantification target, are very ambiguous and immaturity. Based on the existing research, this paper puts forward the multiple operations optimal design model of water distribution network, which select the sum of network cost and operation cost of the pipeline pump fees for a single target conversion value the lowest water networks working single target, can meet different constraint of different water conditions. This model think about four conditions and account for pump unit running time running time scale. Four conditions are peak conditions,average conditions, fire condition , accident condition.This paper analyzed and studied carefully used common solving algorithm, such as Lagrange function method, boundaries flow method, linear programming method, nonlinear programming method, the dynamic programming, genetic algorithms, etc. Finally considering the discreteness of pipe diameter, this paper temporarily do some improve based on mature genetic algorithm to get the improved genetic algorithm, which was applied to the practical engineering working optimization design model. By using MATLAB compiling water supply network optimization algorithm of solving program. Finally, through a practical engineering example of water distribution network optimization design, with the comparison of the optimization results between the traditional genetic algorithm and improved genetic algorithm, confirmed the improved genetic algorithm, and the optimized results verified superiority and the advantage of working optimization model.?...