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

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

Alireza Sahebgharani, MULTI-OBJECTIVE LAND USE OPTIMIZATION THROUGH PARALLEL PARTICLE SWARM ALGORITHM, Journal of Urban and Environmental Engineering, Vol. 10, No. 1 (January to June 2016), pp. 42-49 ...

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.

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 ...

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 ...

Researchers have developed a maximum power point tracking algorithm based on the social hierarchy and hunting strategy of grey wolves. When tested under realistic shading conditions, the grey wolf ...

MicroAlgo Inc.'s Bitcoin trading prediction algorithm based on machine learning and technical indicators plays a crucial role in the construction of the technical foundation with data processing ...