Mathematical and Pragmatic Perspectives of Physical Programming

By Achille Messac, C. Sukam, Emanuel Melachrinoudis. 2001

60 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/174893e26c0899c3a3f4a23961d0189a394734d7

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. Zhen Luo
2. Liyong Tong
3. Jiangzi Lin

In Computational Theory and Mathematics

1. Liyong Tong
2. Zhen Luo
3. Jiangzi Lin
4. Zhan Kang
5. Yiqiang Wang
6. Ole Sigmund

In Control and Systems Engineering

1. Liyong Tong
2. Zhen Luo
3. Jiangzi Lin

Citations in the corpus

• Robustness-based design optimization under data uncertainty (2011, unknown): “[29] Messac, A.”
• A new multi-objective programming scheme for topology optimization of compliant mechanisms (2009, methodology): “In physical programming (Messac 1996; Messac and Wilson 1998; Messac et al. 2001 ), the designer assigns sets of ranges that each objective function is desired to take as well as based on its design requirement to reflect its preference.”