Papers with MAS optimization algorithms

1 papers
EvoAgentX: An Automated Framework for Evolving Agentic Workflows (2025.emnlp-demos)

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Challenge: Existing MAS frameworks often require manual workflow configuration and lack native support for dynamic evolution and performance optimization.
Approach: They propose an open-source platform that automates generation, execution, and evolutionary optimization of multi-agent workflows.
Outcome: The proposed platform automates generation, execution, and evolutionary optimization of multi-agent workflows.

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