The invention relates to a hydroelectric generating set maintenance
layout optimization method based on an improved
genetic algorithm, and aims to solve the problems that an existing maintenance space
layout method based on a two-dimensional drawing depends on experience of designers, is long in planning period, high in cost consumption, poor in planning effect accuracy and waste in resources, and cannot meet actual production requirements. The invention provides a hydroelectric generating set maintenance
layout optimization method based on an improved
genetic algorithm, and the method comprises the steps: carrying out the
numbering and classification of disassembled maintenance parts, determining the maintenance space of a hydroelectric generating set through a free plane search method, carrying out the modeling of a hydroelectric maintenance layout plan based on the maintenance
carrying cost and the maintenance space
utilization rate, and carrying out the optimization of the maintenance layout. The model is solved by using an improved
genetic algorithm, and an obtained result is prevented from falling into
local optimum and can be quickly converged, so that optimal
layout planning of the maintenance parts of the hydroelectric generating set is realized.