Amrit Pratap
Amrit Pratap is a researcher whose work spans evolutionary optimization and learning algorithms. He coauthored NSGA-II and a KanGAL report on constrained multi-objective test problems in 2000. His Caltech theses take up AlphaBoost and adaptive learning with data cloning, and he coauthored a 2005 paper on data categorization and generalization. By 2013, he was an emeritus member with a Caltech affiliation.
- Works
- 16
- Citations
- 55,960
- h-index
- 8
Publication numbers from OpenAlex, as of 18 October 2026.
Timeline
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2000
Co-authoring NSGA-II
At IIT Kanpur, he works with Kalyanmoy Deb and fellow students to develop NSGA-II in 2000. NSGA-II is a fast, elitist multi-objective genetic algorithm.
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2000
Constrained test problems
He coauthors a KanGAL report on constrained test problems for multi-objective evolutionary optimization in 2000.
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2004
An AlphaBoost thesis
He completes a computer-science master's thesis at Caltech in 2004 titled ‘Maximum Drawdown of a Brownian Motion and AlphaBoost: a Boosting Algorithm.’
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2005
Data categorization paper
He coauthors ‘Improving generalization by data categorization’ with Ling Li, Hsuan-Tien Lin, and Yaser S. Abu-Mostafa for PKDD in 2005.
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2008
Adaptive learning and data cloning
He completes a Caltech PhD in 2008 with a dissertation titled ‘Adaptive Learning Algorithms and Data Cloning.’
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By 2013
Emeritus membership
By 2013, he is an emeritus member with a Caltech affiliation.
Career
- 2003–2008California Institute of TechnologyEmeritus member
Education
Most-cited works
- A fast and elitist multiobjective genetic algorithm: NSGA-IIWith Kalyanmoy Deb
- A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimization: NSGA-IIWith Kalyanmoy Deb
- Constrained Test Problems for Multi-objective Evolutionary OptimizationWith Kalyanmoy Deb
- On the maximum drawdown of a Brownian motion
- Mechanical Component Design for Multiple Ojectives Using Elitist Non-dominated Sorting GAWith Kalyanmoy Deb
Sources and credits
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