Micro-network optimization scheduling method based on improved partition multi-objective evolutionary optimization
The invention discloses a micro-network optimization scheduling method based on improved partition multi-objective evolutionary optimization. The method comprises the steps that S1 a micro-network multi-objective optimization scheduling problem model is established; S2 sub-population individuals are...
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Main Authors | , |
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Format | Patent |
Language | Chinese English |
Published |
04.01.2017
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Subjects | |
Online Access | Get full text |
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Summary: | The invention discloses a micro-network optimization scheduling method based on improved partition multi-objective evolutionary optimization. The method comprises the steps that S1 a micro-network multi-objective optimization scheduling problem model is established; S2 sub-population individuals are initialized, and the sub-population individuals are restrained and restored according to the micro-source climbing rate; S3 genetic manipulation is carried out on each sub-population to acquire a sub-subpopulation, and sub-subpopulation individuals are restrained and restored according to the micro-source climbing rate; S4 all sub-populations and sub-subpopulation are combined to generate a mixed population, and the mixed population is divided into new sub-populations; S5 the size of each new sub-population is restored to a set sub-population size S; S6 all non-inferior individuals in new sub-populations are preserved; and S7 whether a convergence condition is satisfied is judged, and if so, all feasible individua |
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Bibliography: | Application Number: CN20161656594 |