Analysis and Enhancement of Collaborative Optimization for Multidisciplinary Design

By JiGuan G. Lin. 2004

50 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/19dfb270fce5d35f20a86aecb9bcd6286c95eb12

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Andrew B. Lambe
2. Joaquim R. Martins
3. Gaetan K. W. Kenway

In Computational Theory and Mathematics

1. Andrew B. Lambe
2. Joaquim R. Martins
3. Gaetan K. W. Kenway
4. John T. Hwang
5. Martin P. Bendsøe

In Computer Networks and Communications

1. Joaquim R. Martins
2. Andrew B. Lambe

Citations in the corpus

• Multidisciplinary design optimization: A survey of architectures (2013, methodology): “In a few cases, problems have been solved with CO and a gradient-free optimizer, such as a genetic algorithm [48], or a gradient-based optimizer that handles the troublesome constraints by avoiding the use of Lagrange multipliers in the termination condition [141].”