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Novel multi-objective optimization algorithm incorporating decisions factors in design modeling of hydraulic nets

Abstract:

Engineering designs are multi-objective and contain more than one design goals, comprising many design variables to be optimized at the same time making the design problems more complex. These design objectives theoretically inflict differing requirements on the technical performance of system design. In this study, firstly, we analyze the tolerances among multi-objectives and conflicting engineering CAD design and explored optimum design solutions for that matter an optimization problem with multi objectives has been mathematically modeled in this paper. The present work, proposes a new methodology that allows supplementing the nets design in order to support large scale water distribution system. The design solutions guarantee that the obtained results after optimization process are practicable and feasible. For this the design methodology, the understudy engineering systems is analyzed, in a systemic way, the problem of aqueduct design task is formalized mathematically considering all it complexity and constraints. In our study the “Stochastic Search Variable Code” algorithm allows to iteratively explore the solutions space and, in a systematic way modifies the interval limits of the possible variable code solutions values, that avoids to be caught in local minima and reaches global optimum minima with more computational efficiency.