Multiprocessor implementation of Parallel Multiobjective Genetic Algorithm for Optimized Allocation of Chlorination Stations in Drinking Water Distribution System - a new water quality model approach

Optimised allocation of actuators for DWDS

“…The several works on joint control -booster station allocation can be found e.g. [10][11][12][13]30]. The approach presented in this works follow the scheme of integrated allocation and control design which has for years been recognised by control engineers to significantly reduce conservatism of the final system to be deployed.…”

“…It also resembles the mechanisms known from mixed integer programming (the branch and bound/cut algorithms). Furthermore, the decomposition reduces the amount of computational power required, as the length of each chromosome generated by the allocation algorithm is significantly shortened in comparison to previously utilised algorithms [12,13,30]. Therefore, a smaller size of population and less generations is required for the algorithm to converge to the neighbourhood of the solution.…”

“…Due to highly nonlinear dynamics of Drinking Water Distribution System (DWDS) and usage of external simulation environment, a Genetic Algorithm (GA) has been utilised to obtain the result. In [13,30] a short critical overview of the previous work has been shown in the context of solved and still open questions regarding booster station allocation and results for chloramination booster station allocation had been presented.…”

“…The approach presented in this works follow the scheme of integrated allocation and control design which has for years been recognised by control engineers to significantly reduce conservatism of the final system to be deployed. In [11][12][13]30] this problem has been formulated as a multiobjective optimisation problem and solution in the sense of Pareto front approximation has been found. Due to highly nonlinear dynamics of Drinking Water Distribution System (DWDS) and usage of external simulation environment, a Genetic Algorithm (GA) has been utilised to obtain the result.…”

“…In previous works [11][12][13]30] the regarded problem has been posed as a well-defined joint allocation optimised open-loop control task. Its major drawback was the inefficient coding of information in chromosomes which build up segments of the 'junk DNA' (unused information) passed within operators.…”