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Saxena, Dhish Kumar
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1

Learning to Analyze the Pareto-Optimal Front:

, In: Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization; Genetic and Evolutionary Computation,
Saxena, Dhish Kumar ; Mittal, Sukrit ; Deb, Kalyanmoy. - p. 217-230 , 2024
Link: https://doi.org/10.1007/..
 
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2

Learning to Converge Better: IP2 Operator:

, In: Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization; Genetic and Evolutionary Computation,
Saxena, Dhish Kumar ; Mittal, Sukrit ; Deb, Kalyanmoy. - p. 109-131 , 2024
Link: https://doi.org/10.1007/..
 
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3

Conclusion and Future Research Directions:

, In: Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization; Genetic and Evolutionary Computation,
Saxena, Dhish Kumar ; Mittal, Sukrit ; Deb, Kalyanmoy. - p. 231-239 , 2024
Link: https://doi.org/10.1007/..
 
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4

Introduction:

, In: Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization; Genetic and Evolutionary Computation,
Saxena, Dhish Kumar ; Mittal, Sukrit ; Deb, Kalyanmoy. - p. 1-9 , 2024
Link: https://doi.org/10.1007/..
 
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5

Dynamic traffic signal control for heterogeneous traffic co..:

Agarwal, Amit ; Sahu, Deorishabh ; Mohata, Rishabh...
Expert Systems with Applications.  254 (2024)  - p. 124416 , 2024
Link: https://doi.org/10.1016/..
 
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6

Foundational Studies on ML-Based Enhancements:

, In: Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization; Genetic and Evolutionary Computation,
Saxena, Dhish Kumar ; Mittal, Sukrit ; Deb, Kalyanmoy. - p. 49-68 , 2024
Link: https://doi.org/10.1007/..
 
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7

Optimization Problems and Algorithms:

, In: Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization; Genetic and Evolutionary Computation,
Saxena, Dhish Kumar ; Mittal, Sukrit ; Deb, Kalyanmoy. - p. 11-48 , 2024
Link: https://doi.org/10.1007/..
 
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8

Learning to Diversify Better: IP3 Operator:

, In: Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization; Genetic and Evolutionary Computation,
Saxena, Dhish Kumar ; Mittal, Sukrit ; Deb, Kalyanmoy. - p. 133-158 , 2024
Link: https://doi.org/10.1007/..
 
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9

Machine Learning Assisted Evolutionary Multi- and Many- Obj.. 

Genetic and Evolutionary Computation
Saxena, Dhish Kumar ; Mittal, Sukrit ; Deb, Kalyanmoy. - 1st ed. 2024 . , 2024
Link: https://doi.org/10.1007/..
 
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10

Learning to Simultaneously Converge and Diversify Better: U..:

, In: Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization; Genetic and Evolutionary Computation,
Saxena, Dhish Kumar ; Mittal, Sukrit ; Deb, Kalyanmoy. - p. 159-195 , 2024
Link: https://doi.org/10.1007/..
 
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11

Learning to Understand the Problem Structure:

, In: Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization; Genetic and Evolutionary Computation,
Saxena, Dhish Kumar ; Mittal, Sukrit ; Deb, Kalyanmoy. - p. 69-107 , 2024
Link: https://doi.org/10.1007/..
 
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12

A Unified Innovized Progress Operator for Performance Enhan..:

Mittal, Sukrit ; Saxena, Dhish Kumar ; Deb, Kalyanmoy.
IEEE Transactions on Evolutionary Computation.  , 2024
Link: https://doi.org/10.1109/..
 
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13

Investigating Innovized Progress Operators with Different M..:

, In: Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization; Genetic and Evolutionary Computation,
Saxena, Dhish Kumar ; Mittal, Sukrit ; Deb, Kalyanmoy. - p. 197-215 , 2024
Link: https://doi.org/10.1007/..
 
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14

Real-World Airline Crew Pairing Optimization: Customized Ge..:

, In: Lecture Notes in Computer Science; Evolutionary Multi-Criterion Optimization,
Aggarwal, Divyam ; Saxena, Dhish Kumar ; Bäck, Thomas. - p. 518-531 , 2023
Link: https://doi.org/10.1007/..
 
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15

A Localized High-Fidelity-Dominance-Based Many-Objective Ev..:

Saxena, Dhish Kumar ; Mittal, Sukrit ; Kapoor, Sarang.
IEEE Transactions on Evolutionary Computation.  27 (2023)  4 - p. 923-937 , 2023
Link: https://doi.org/10.1109/..
 
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