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LLMAGEO: Large language model-assisted generation of evolutionary operators for constrained multiobjective optimization problems
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DOI：10.1016/j.asoc.2026.115403.png)
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Abstract
En 中文
• An LLM-driven framework enables automatic and adaptive evolutionary operator generation. • Prompt engineering ensures correct and high-quality operator code generation by the LLM. • A Pareto-based trigger reduces LLM usage while maintaining optimization performance.
Keywords:
LLMAGEO
evolutionary operators
prompt engineering
Pareto-based trigger
constrained multiobjective optimization
Journal
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6.6
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