Evolutionary reinforcement learning is an exciting frontier in machine learning, combining the strengths of two distinct approaches: reinforcement learning and evolutionary computation. In ...

Expensive optimization problem (EOP) refers to the problem that requires expensive or even unaffordable costs to evaluate candidate solutions, which widely exist in many significant real-world ...

Evolutionary computation has made impressive achievements in solving complex problems in science and industry, but a long-standing challenge is that there is no theoretical guarantee on the global ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The promise of evolutionary algorithms has been around for several years, ...

Researchers say the AI system can lead to better decision-making around a wide range of complex policy choices. Using global land use and carbon storage data from the past 175 years, researchers at ...

This is a preview. Log in through your library . Abstract In this paper, we mainly discuss the elvolution of initial small disturbance in discrete computation of the contour dynamics method. For one ...

Heterogeneous compute and a new paradigm for AI at the edge. In partnership withArm Artificial Intelligence (AI) is emerging in everyday use cases, thanks to advances in foundational models, more ...