Abstract: Efficient and safe path planning for multiple autonomous agents, such as unmanned aerial vehicles (UAVs), is essential in many real-world applications. The objective is to coordinate these ...

Abstract: Multimodal multi-objective optimization problems (MMOPs) are prevalent in real-world applications and have emerged as a significant research focus in evolutionary computation. Unlike ...

OpenEvolve uses large language models as mutation and crossover operators inside an evolutionary algorithm loop. Describe a problem, provide test cases, and let AI evolve increasingly better solutions ...

The future of AI is here. Discover the world’s first self-evolving, open-weight AI model that can independently upgrade ...