How sequence-based AI achieve whole genome screening for billions of small molecule and antibody candidates in hours

As biological data volume continues to grow, sequence-based AI is poised to become the dominant discovery layer across pharma, biotech, and industrial biology. Ainnocence is expanding partnerships, ...
IEEE

A Size-Imbalanced Dual Population with Complementary Search for Sparse Large-Scale Multi-Modal Multi-Objective Optimization

Abstract: Multi-modal multi-objective optimization problems (MMOPs), which contain multiple distinct Pareto sets, are found in many real-world applications. Their multi-modality characteristics ...
IEEE

Preference-Based Multi-Objective Reinforcement Learning

Abstract: Multi-objective reinforcement learning (MORL) is a structured approach for optimizing tasks with multiple objectives. However, it often relies on pre-defined reward functions, which can be ...
EurekAlert!

Application of multi-objective optimization based on Sobol sensitivity analysis in solar single-double-effect LiBr−H2O absorption refrigeration

To improve the adaptability of solar refrigeration systems to different heat sources, a single-double-effect LiBr-H2O ...
EurekAlert!

Dynamic decision-making of UAV swarm based on constrained multi-objective optimization under incomplete interference information

The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been investigated for years. In a recent breakthrough published in the Chinese Journal of ...