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A hierarchical wind driven optimization method for solving the bi-level programming problem

Authors: Lan Xu; Wei Teng;

A hierarchical wind driven optimization method for solving the bi-level programming problem

Abstract

A hierarchical wind driven optimization (WDO) method is proposed to solve the bi-level programming problem. Firstly, the WDO method is used to optimize the lower level programming problem after the upper level variables are initialized, and the positions and velocities of air parcels in the lower level are updated. Then the solutions of the upper level are optimized by the WDO method with the constrained conditions. Finally, the solutions with the minimum sum of sequences of the two-level results are selected as the final solution from the solution set. The experimental results of the proposed algorithm show the effectiveness of the proposed hierarchical wind driven optimization for solving the bi-level programming problems.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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