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A constrained multi-objective co-evolutionary algorithm with dynamic game
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AI
DOI：10.1016/j.asoc.2026.115641.png)
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Abstract
En 中文
• A constrained multi-objective coevolutionary algorithm based on Dynamic Game. • The algorithm incorporates game-theoretic principles and causal reasoning to guide environmental selection. • A dynamic resource allocation model grounded in non-cooperative game theory is developed.
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6.6
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1.4W
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