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Dhish Kumar Saxena
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2020 – today
- 2024
- [b1]Dhish Kumar Saxena, Sukrit Mittal
, Kalyanmoy Deb, Erik D. Goodman:
Machine Learning Assisted Evolutionary Multi- and Many-Objective Optimization. Springer 2024, ISBN 978-981-99-2095-2, pp. 1-239 - [j12]Amit Agarwal
Dynamic traffic signal control for heterogeneous traffic conditions using Max Pressure and Reinforcement Learning. Expert Syst. Appl. 254: 124416 (2024) - 2023
- [j11]Dhish Kumar Saxena
A Localized High-Fidelity-Dominance-Based Many-Objective Evolutionary Algorithm. IEEE Trans. Evol. Comput. 27(4): 923-937 (2023) - [c14]Drishti Bhasin
Investigating Innovized Progress Operators with Different Machine Learning Methods. EMO 2023: 134-146 - [c13]Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich:
Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm Versus Column Generation Method. EMO 2023: 518-531 - 2022
- [j10]Sukrit Mittal
Enhanced Innovized Progress Operator for Evolutionary Multi- and Many-Objective Optimization. IEEE Trans. Evol. Comput. 26(5): 961-975 (2022) - [j9]Sukrit Mittal
A Learning-based Innovized Progress Operator for Faster Convergence in Evolutionary Multi-objective Optimization. ACM Trans. Evol. Learn. Optim. 2(1): 1:1-1:29 (2022) - 2021
- [j8]Sarang Kapoor
Online summarization of dynamic graphs using subjective interestingness for sequential data. Data Min. Knowl. Discov. 35(1): 88-126 (2021) - [c12]Kalyanmoy Deb
Embedding a Repair Operator in Evolutionary Single and Multi-objective Algorithms - An Exploitation-Exploration Perspective. EMO 2021: 89-101 - 2020
- [j7]Yangyang Li, Mengzhuo Tian, Yang Wang, Qingfu Zhang, Dhish Kumar Saxena, Licheng Jiao
A new replica placement strategy based on multi-objective optimisation for HDFS. Int. J. Bio Inspired Comput. 16(1): 13-22 (2020) - [j6]Sarang Kapoor
Discovering subjectively interesting multigraph patterns. Mach. Learn. 109(8): 1669-1696 (2020) - [c11]Sukrit Mittal
A Unified Automated Innovization Framework Using Threshold-based Clustering. CEC 2020: 1-8 - [c10]Kanish Garg, Anish Mukherjee, Sukrit Mittal
A generic and computationally efficient automated innovization method for power-law design rules. GECCO Companion 2020: 161-162 - [c9]Sukrit Mittal
Learning-based multi-objective optimization through ANN-assisted online Innovization. GECCO Companion 2020: 171-172 - [i6]Divyam Aggarwal
Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm versus Column Generation Method. CoRR abs/2003.03792 (2020) - [i5]Divyam Aggarwal
AirCROP: Airline Crew Pairing Optimizer for Complex Flight Networks Involving Multiple Crew Bases & Billion-Plus Variables. CoRR abs/2003.03994 (2020) - [i4]Divyam Aggarwal
On Initializing Airline Crew Pairing Optimization for Large-scale Complex Flight Networks. CoRR abs/2003.06423 (2020) - [i3]Divyam Aggarwal, Yash Kumar Singh, Dhish Kumar Saxena:
On Learning Combinatorial Patterns to Assist Large-Scale Airline Crew Pairing Optimization. CoRR abs/2004.13714 (2020) - [i2]Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich:
A Novel Column Generation Heuristic for Airline Crew Pairing Optimization with Large-scale Complex Flight Networks. CoRR abs/2005.08636 (2020) - [i1]Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, Erik D. Goodman:
Enhanced Innovized Repair Operator for Evolutionary Multi- and Many-objective Optimization. CoRR abs/2011.10760 (2020)
2010 – 2019
- 2019
- [c8]Dhish Kumar Saxena, Sarang Kapoor
On Timing the Nadir-Point Estimation and/or Termination of Reference-Based Multi- and Many-objective Evolutionary Algorithms. EMO 2019: 191-202 - 2018
- [c7]Divyam Aggarwal
On Large-Scale Airline Crew Pairing Generation. SSCI 2018: 593-600 - 2017
- [c6]João A. Duro
Timing the Decision Support for Real-World Many-Objective Optimization Problems. EMO 2017: 191-205 - 2016
- [j5]Dhish Kumar Saxena, Arnab Sinha, João A. Duro
Entropy-Based Termination Criterion for Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 20(4): 485-498 (2016) - 2014
- [j4]João A. Duro
Machine learning based decision support for many-objective optimization problems. Neurocomputing 146: 30-47 (2014) - 2013
- [j3]Ankur Sinha, Dhish Kumar Saxena, Kalyanmoy Deb, Ashutosh Tiwari
Using objective reduction and interactive procedure to handle many-objective optimization problems. Appl. Soft Comput. 13(1): 415-427 (2013) - [j2]Dhish Kumar Saxena, João A. Duro
Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms. IEEE Trans. Evol. Comput. 17(1): 77-99 (2013) - 2012
- [j1]Kostas Vergidis
An evolutionary multi-objective framework for business process optimisation. Appl. Soft Comput. 12(8): 2638-2653 (2012) - 2011
- [c5]Dhish Kumar Saxena, Qingfu Zhang
Framework for Many-Objective Test Problems with Both Simple and Complicated Pareto-Set Shapes. EMO 2011: 197-211
2000 – 2009
- 2009
- [c4]Dhish Kumar Saxena, Tapabrata Ray
Constrained many-objective optimization: A way forward. IEEE Congress on Evolutionary Computation 2009: 545-552 - 2008
- [c3]Dhish Kumar Saxena, Kalyanmoy Deb:
Dimensionality reduction of objectives and constraints in multi-objective optimization problems: A system design perspective. IEEE Congress on Evolutionary Computation 2008: 3204-3211 - [p1]Dimo Brockhoff, Dhish Kumar Saxena, Kalyanmoy Deb, Eckart Zitzler:
On Handling a Large Number of Objectives A Posteriori and During Optimization. Multiobjective Problem Solving from Nature 2008: 377-403 - 2007
- [c2]Dhish Kumar Saxena, Kalyanmoy Deb:
Trading on infeasibility by exploiting constraint's criticality through multi-objectivization: A system design perspective. IEEE Congress on Evolutionary Computation 2007: 919-926 - [c1]Dhish Kumar Saxena, Kalyanmoy Deb:
Non-linear Dimensionality Reduction Procedures for Certain Large-Dimensional Multi-objective Optimization Problems: Employing Correntropy and a Novel Maximum Variance Unfolding. EMO 2007: 772-787
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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