Guochen Zhou

Distributed evolution strategies for large-scale optimization

2022 · Proceedings of the Genetic and Evolutionary Computation Conference Companion

As their underlying models are becoming larger and data-driven, an increasing number of modern real-world applications can be mathematically formulated as large-scale continuous optimization. In this paper, we propose a distributed evolution strategy (DES) for …

Distributed Evolution Strategies With Multi-Level Learning for Large-Scale Black-Box Optimization

2024 · IEEE Transactions on Parallel and Distributed Systems

In the post-Moore era, main performance gains of black-box optimizers are increasingly depending on parallelism, especially for large-scale optimization (LSO). Here we propose to parallelize the well-established covariance matrix adaptation evolution strategy (CMA-ES) and in …