Amrit Pratap
Amrit Pratap
Unknown affiliation
Verified email at tower-research.com
TitleCited byYear
A fast and elitist multiobjective genetic algorithm: NSGA-II
K Deb, A Pratap, S Agarwal, T Meyarivan
IEEE transactions on evolutionary computation 6 (2), 182-197, 2002
34688*2002
A fast and elitist multiobjective genetic algorithm: NSGA-II
K Deb, A Pratap, S Agarwal, T Meyarivan
IEEE transactions on evolutionary computation 6 (2), 182-197, 2002
34656*2002
A fast and elitist multiobjective genetic algorithm: NSGA-II
K Deb, A Pratap, S Agarwal, T Meyarivan
IEEE transactions on evolutionary computation 6 (2), 182-197, 2002
34656*2002
A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II
K Deb, S Agrawal, A Pratap, T Meyarivan
International conference on parallel problem solving from nature, 849-858, 2000
48902000
A fast and elitist multiobjective genetic algorithm: NSGA-II
D Kalyanmoy, A Pratap, S Agarwal, T Meyarivan
IEEE transactions on evolutionary computation 6 (2), 182-197, 2002
3652002
Constrained test problems for multi-objective evolutionary optimization
K Deb, A Pratap, T Meyarivan
International conference on evolutionary multi-criterion optimization, 284-298, 2001
3482001
A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-2
K Deb
IEEE Trans. Evol. Comput. 6 (2), 182-197, 2002
2242002
On the maximum drawdown of a Brownian motion
M Magdon-Ismail, AF Atiya, A Pratap, YS Abu-Mostafa
Journal of applied probability 41 (1), 147-161, 2004
1602004
Mechanical component design for multiple ojectives using elitist non-dominated sorting ga
K Deb, A Pratap, S Moitra
International Conference on Parallel Problem Solving from Nature, 859-868, 2000
1412000
A fast non-dominated sorting genetic algorithm for multiobjective optimization: NSGA-II
K Deb, S Agrawal, A Pratap, T Meyarivan
Parallel Problem Solving from Nature, 849-858, 1999
1001999
Improving generalization by data categorization
L Li, A Pratap, HT Lin, YS Abu-Mostafa
European Conference on Principles of Data Mining and Knowledge Discovery …, 2005
262005
CGBoost: Conjugate gradient in function space
L Li, YS Abu-Mostafa, A Pratap
California Institute of Technology, 2003
82003
The sharpe ratio, range, and maximal drawdown of a brownian motion
M Magdon-Ismail, AF Atiya, A Pratap, YS Abu-Mostafa
Technical report, Technical Report TR 02-13, RPI Computer Science, 2002. URL …, 2002
62002
A Fast and Elitist Multi-Objective Genetic Algorithm: NSGA-II.(2000)
K Deb, A Pratap, S Agarwal, T Meyarivan
IEEE Transactions on Evolutionary Computation 6, 2000
52000
A fast and elitist multiobjective genetic algorithm: NSGA-II. Ieee T Evolut Comput 2002, 6 (2): 182-197
K Deb, A Pratap, S Agarwal, T Meyarivan
41979
Distributed Power Generation Planning and Evaluation
D Xu, B Ai, H Yang, H Shen, X Liao, AMA Ashwal, IS Moghram, ...
Journal of Applied Sciences 6 (9), 1491-1512, 2003
32003
Adaptive learning algorithms and data cloning
A Pratap
California Institute of Technology, 2008
12008
Maximum drawdown of a Brownian motion and AlphaBoost: a boosting algorithm
A Pratap
California Institute of Technology, 2004
12004
Tabu search to define best routes in canvassing distribution system: A case study.
H Faroqi, AS Niaraki, AM Baylon, EMR Santos, K Deb, A Pratap, ...
Journal of Applied Sciences 15 (6), 557-566, 2013
2013
Multiobjective evolutionary algorithms: A comparative case study and the strength pareto approach
Y Wei, K Sukumar, C Vecchiola, D Karunamoorthy, R Buyya, J Seltzer, ...
Cloud Computing: Methodology, Systems, and Applications 7 (1), 1-1, 2012
2012
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