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A two‐stage many‐objective evolutionary algorithm with dynamic generalized Pareto dominance

https://doi.org/10.1002/int.23016
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What this work says

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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Modified Two_Arch2 Based on Reference Points for Many-Objective Optimization
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Many-Objective Artificial Bee Colony Algorithm Based on Dual Indicators
inferred← citeshttps://doi.org/10.1007/978-981-99-5844-3_25openalex-snapshot
Complementary Environmental Selection for Evolutionary Many-Objective Optimization
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Co-evolutionary algorithm with a region-based diversity enhancement strategy
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A Pareto dominance relation based on reference vectors for evolutionary many-objective optimization
inferred← citeshttps://doi.org/10.1016/j.ins.2024.121491openalex-snapshot
Many-objective firefly algorithm with two archives for computation offloading
inferred← citeshttps://doi.org/10.1016/j.swevo.2024.101539openalex-snapshot
Many-objective evolutionary algorithm based on parallel distance for handling irregular Pareto fronts
inferred← citeshttps://doi.org/10.1155/int/2004983openalex-snapshot
A Multiobjective Optimization Method for Collecting and Releasing Processes of Winch System Considering Wave Disturbance and Control Laws
inferred← citeshttps://doi.org/10.26599/tst.2024.9010139openalex-snapshot
Artificial Bee Colony Algorithm with Hybrid Strategies for Many-Objective Optimization
inferred← citeshttps://doi.org/10.3390/sym16111484openalex-snapshot
Symmetrical Generalized Pareto Dominance and Adjusted Reference Vector Cooperative Evolutionary Algorithm for Many-Objective Optimization
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