Three optimization algorithms developed by IEMS faculty members Jorge Nocedal and Andreas Wächter are widely used around the world.

Tan Liu, Qinyun Yuan, Lina Wang, Yonggang Wang, Nannan Zhang, Multi-objective optimization for oil-gas production process based on compensation model of comprehensive energy consumption using improved ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced today the development of an innovative technology, the Classical Boosted Quantum Optimization Algorithm (CBQOA). This ...

MicroAlgo Inc. announced the QIRO algorithm for quantum-combinatorial optimization, enhancing efficiency in complex problem solving.

Researchers adapt model predictive control from engineering to epidemic response, balancing health and economic costs under ...

Such algorithms find approximate (slightly suboptimal) solutions to optimization problems in polynomial time. Unlike heuristics, approximation algorithms have provable performance guarantees: they ...

Additionally, the algorithm can be applied in areas such as quantum simulation and quantum optimization, offering new technological tools and solutions for research and development in these domains.

Data quality is regarded as the cornerstone of AI optimization. The head of the company's technical team pointed out that noise and missing values in raw data can directly impact the training ...