| The normalized normal constraint method for generating the Pareto frontier A Messac, A Ismail-Yahaya, CA Mattson Structural and multidisciplinary optimization 25, 86-98, 2003 | 1002 | 2003 |
| Physical programming-effective optimization for computational design A Messac AIAA journal 34 (1), 149-158, 1996 | 688 | 1996 |
| Unrestricted wind farm layout optimization (UWFLO): Investigating key factors influencing the maximum power generation S Chowdhury, J Zhang, A Messac, L Castillo Renewable Energy 38 (1), 16-30, 2012 | 385 | 2012 |
| Normal constraint method with guarantee of even representation of complete Pareto frontier A Messac, CA Mattson AIAA journal 42 (10), 2101-2111, 2004 | 366 | 2004 |
| Optimization in practice with MATLAB®: for engineering students and professionals A Messac Cambridge University Press, 2015 | 308 | 2015 |
| Generating well-distributed sets of Pareto points for engineering design using physical programming A Messac, CA Mattson Optimization and Engineering 3, 431-450, 2002 | 308 | 2002 |
| Multiobjective robust design using physical programming A Messac, A Ismail-Yahaya Structural and multidisciplinary optimization 23, 357-371, 2002 | 294 | 2002 |
| Optimizing the arrangement and the selection of turbines for wind farms subject to varying wind conditions S Chowdhury, J Zhang, A Messac, L Castillo Renewable Energy 52, 273-282, 2013 | 275 | 2013 |
| Pareto frontier based concept selection under uncertainty, with visualization CA Mattson, A Messac Optimization and Engineering 6, 85-115, 2005 | 270 | 2005 |
| Extended radial basis functions: more flexible and effective metamodeling AA Mullur, A Messac AIAA journal 43 (6), 1306-1315, 2005 | 254 | 2005 |
| Smart Pareto filter: Obtaining a minimal representation of multiobjective design space CA Mattson, AA Mullur, A Messac Engineering Optimization 36 (6), 721-740, 2004 | 211 | 2004 |
| Effective product family design using physical programming A Messac, MP Martinez, TW Simpson Engineering Optimization 34 (3), 245-261, 2002 | 208 | 2002 |
| Metamodeling using extended radial basis functions: a comparative approach AA Mullur, A Messac Engineering with Computers 21, 203-217, 2006 | 203 | 2006 |
| Introduction of a product family penalty function using physical programming A Messac, MP Martinez, TW Simpson J. Mech. Des. 124 (2), 164-172, 2002 | 195* | 2002 |
| Exploration of the effectiveness of physical programming in robust design W Chen, A Sahai, A Messac, GJ Sundararaj J. Mech. Des. 122 (2), 155-163, 2000 | 191 | 2000 |
| Ability of objective functions to generate points on nonconvex Pareto frontiers A Messac, GJ Sundararaj, RV Tappeta, JE Renaud AIAA journal 38 (6), 1084-1091, 2000 | 182 | 2000 |
| Concept selection using s-Pareto frontiers CA Mattson, A Messac AIAA journal 41 (6), 1190-1198, 2003 | 178 | 2003 |
| Linear physical programming: a new approach to multiple objective optimization A Messac, SM Gupta, B Akbulut Transactions on operational research 8 (2), 39-59, 1996 | 177 | 1996 |
| Aggregate objective functions and Pareto frontiers: required relationships and practical implications A Messac, C Puemi-Sukam, E Melachrinoudis Optimization and Engineering 1, 171-188, 2000 | 168 | 2000 |
| An adaptive hybrid surrogate model J Zhang, S Chowdhury, A Messac Structural and Multidisciplinary Optimization 46 (2), 223-238, 2012 | 160 | 2012 |
Souma ChowdhuryAssociate Professor, Mechanical and Aerospace Engineering, University at BuffaloVerified email at buffalo.edu
