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Ma et al., 2022 - Google Patents

Large-scale evolutionary optimization approach based on decision space decomposition

Ma et al., 2022

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Document ID
10176471014258554603
Author
Ma J
Chang F
Yu X
Publication year
Publication venue
Frontiers in Energy Research

External Links

Snippet

The identification of decision variable interactions has a crucial role in the final outcome of the algorithm in the large-scale optimization domain. It is a prerequisite for decomposition- based algorithms to achieve grouping. In this paper, we design a recognition method with …
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Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705—Clustering or classification
    • G06F17/3071—Clustering or classification including class or cluster creation or modification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
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    • G06N3/126—Genetic algorithms, i.e. information processing using digital simulations of the genetic system
    • G—PHYSICS
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    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/02—Knowledge representation
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