Large-scale sparse multi-objective optimization problems are prevalent in numerous real-world scenarios, such as neural network training, sparse regression, pattern mining and critical node detection, ...

In the context of Internet of Things (IoT), optimizing quality of service (QoS) parameters is a critical challenge due to its heterogeneous and resource-constrained nature. This paper proposes a novel ...

東京のスタートアップ Sakana AI（サカナエーアイ）が開発した新しい手法 Evolutionary Model Merge は、自然選択のプロセスに着想を得て、既存のモデルの部分を組み合わせることで、より優れた生成モデルを自動的に作成するものだ。 Sakana AI は、2023年8月に その ...

Dr. James McCaffrey of Microsoft Research says that when quantum computing becomes generally available, evolutionary algorithms for training huge neural networks could become a very important and ...