Achille Messac
Title
Cited by
Cited by
Year
The normalized normal constraint method for generating the Pareto frontier
A Messac, A Ismail-Yahaya, CA Mattson
Structural and multidisciplinary optimization 25 (2), 86-98, 2003
8382003
Physical programming-effective optimization for computational design
A Messac
AIAA journal 34 (1), 149-158, 1996
6121996
Normal constraint method with guarantee of even representation of complete Pareto frontier
A Messac, CA Mattson
AIAA journal 42 (10), 2101-2111, 2004
3192004
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
2972012
Multiobjective robust design using physical programming
A Messac, A Ismail-Yahaya
Structural and multidisciplinary optimization 23 (5), 357-371, 2002
2662002
Generating well-distributed sets of Pareto points for engineering design using physical programming
A Messac, CA Mattson
Optimization and Engineering 3 (4), 431-450, 2002
2612002
Pareto frontier based concept selection under uncertainty, with visualization
CA Mattson, A Messac
Optimization and Engineering 6 (1), 85-115, 2005
2402005
Extended radial basis functions: more flexible and effective metamodeling
AA Mullur, A Messac
AIAA journal 43 (6), 1306-1315, 2005
2152005
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
2132013
Effective product family design using physical programming
A Messac, MP Martinez, TW Simpson
Engineering Optimization 34 (3), 245-261, 2002
2012002
Optimization in practice with MATLABŪ: for engineering students and professionals
A Messac
Cambridge University Press, 2015
1852015
Smart Pareto filter: Obtaining a minimal representation of multiobjective design space
CA Mattson, AA Mullur, A Messac
Engineering Optimization 36 (6), 721-740, 2004
1852004
Introduction of a product family penalty function using physical programming
A Messac, MP Martinez, TW Simpson
J. Mech. Des. 124 (2), 164-172, 2002
182*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
1812000
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
1692000
Metamodeling using extended radial basis functions: a comparative approach
AA Mullur, A Messac
Engineering with Computers 21 (3), 203, 2006
1662006
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
1661996
Concept selection using s-Pareto frontiers
CA Mattson, A Messac
AIAA journal 41 (6), 1190-1198, 2003
1632003
Aggregate objective functions and Pareto frontiers: required relationships and practical implications
A Messac, C Puemi-Sukam, E Melachrinoudis
Optimization and Engineering 1 (2), 171-188, 2000
1452000
From dubious construction of objective functions to the application of physical programming
A Messac
AIAA journal 38 (1), 155-163, 2000
1202000
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Articles 1–20