Infeasibility Driven Evolutionary Algorithm (IDEA) for Engineering Design Optimization. - Hemant K. Singh; Amitay Isaacs; Tapabrata Ray; Warren F. Smith (Australasian Conference on Artificial Intelligence, 2008)

A simulated annealing algorithm for constrained Multi-Objective Optimization. - Hemant K. Singh; Amitay Isaacs; Tapabrata Ray; Warren F. Smith (IEEE Congress on Evolutionary Computation, 2008)

A Simulated Annealing Algorithm for Single Objective Trans-Dimensional Optimization Problems. - Hemant K. Singh; Amitay Isaacs; Tapabrata Ray; Warren F. Smith (HIS, 2008)

A Study on the Performance of Substitute Distance Based Approaches for Evolutionary Many Objective Optimization. - Hemant K. Singh; Amitay Isaacs; Tapabrata Ray; Warren F. Smith (SEAL, 2008)

Performance of infeasibility driven evolutionary algorithm (IDEA) on constrained dynamic single objective optimization problems. - Hemant K. Singh; Amitay Isaacs; Trung Thanh Nguyen 002; Tapabrata Ray; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2009)

An improved secondary ranking for many objective optimization problems. - Hemant K. Singh; Amitay Isaacs; Tapabrata Ray; Warren F. Smith (GECCO, 2009)

Performance of Infeasibility Empowered Memetic Algorithm (IEMA) on Engineering Design Problems. - Hemant K. Singh; Tapabrata Ray; Warren F. Smith (Australasian Conference on Artificial Intelligence, 2010)

Surrogate assisted Simulated Annealing (SASA) for constrained multi-objective optimization. - Hemant Kumar Singh; Tapabrata Ray; Warren F. Smith (IEEE Congress on Evolutionary Computation, 2010)

Performance of infeasibility empowered memetic algorithm for CEC 2010 constrained optimization problems. - Hemant Kumar Singh; Tapabrata Ray; Warren F. Smith (IEEE Congress on Evolutionary Computation, 2010)

C-PSA: Constrained Pareto simulated annealing for constrained multi-objective optimization. - Hemant Kumar Singh; Tapabrata Ray; Warren F. Smith (Inf. Sci., 2010)

Performance of a hybrid EA-DE-memetic algorithm on CEC 2011 real world optimization problems. - Hemant Kumar Singh; Tapabrata Ray (IEEE Congress on Evolutionary Computation, 2011)

A Pareto Corner Search Evolutionary Algorithm and Dimensionality Reduction in Many-Objective Optimization Problems. - Hemant Kumar Singh; Amitay Isaacs; Tapabrata Ray (IEEE Trans. Evol. Comput., 2011)

Development of optimization methods to deal with current challenges in engineering design optimization. - Hemant K. Singh (2011)

Optimum Oil Production Planning Using Infeasibility Driven Evolutionary Algorithm. - Hemant Kumar Singh; Tapabrata Ray; Ruhul A. Sarker (Evol. Comput., 2013)

A benchmark generator for dynamic capacitated arc routing problems. - Min Liu 009; Hemant Kumar Singh; Tapabrata Ray (IEEE Congress on Evolutionary Computation, 2014)

A memetic algorithm with a new split scheme for solving dynamic capacitated arc routing problems. - Min Liu 009; Hemant Kumar Singh; Tapabrata Ray (IEEE Congress on Evolutionary Computation, 2014)

Solving problems with a mix of hard and soft constraints using modified infeasibility driven evolutionary algorithm (IDEA-M). - Hemant Kumar Singh; Md. Asafuddoula; Tapabrata Ray (IEEE Congress on Evolutionary Computation, 2014)

A hybrid surrogate based algorithm (HSBA) to solve computationally expensive optimization problems. - Hemant Kumar Singh; Amitay Isaacs; Tapabrata Ray (IEEE Congress on Evolutionary Computation, 2014)

Performance of a steady state quantum genetic algorithm for multi/many-objective engineering optimization problems. - Md. Asafuddoula; Tapabrata Ray; Amitay Isaacs; Hemant Kumar Singh (CEC, 2015)

A Memetic Algorithm for solving single objective bilevel optimization problems. - Md. Monjurul Islam; Hemant Kumar Singh; Tapabrata Ray (CEC, 2015)

A multi-objective genetic programming approach to uncover explicit and implicit equations from data. - Bing Wang; Hemant Kumar Singh; Tapabrata Ray (CEC, 2015)

Re-design for Robustness: An Approach Based on Many Objective Optimization. - Hemant K. Singh; Md. Asafuddoula; Khairul Alam; Tapabrata Ray (EMO (2), 2015)

Characterizing Pareto Front Approximations in Many-objective Optimization. - Md. Asafuddoula; Tapabrata Ray; Hemant Kumar Singh (GECCO, 2015)

Six-Sigma Robust Design Optimization Using a Many-Objective Decomposition-Based Evolutionary Algorithm. - Md. Asafuddoula; Hemant K. Singh; Tapabrata Ray (IEEE Trans. Evol. Comput., 2015)

A Study on Performance Metrics to Identify Solutions of Interest from a Trade-Off Set. - Kalyan Shankar Bhattacharjee; Hemant Kumar Singh; Tapabrata Ray (ACALCI, 2016)

A Nested Differential Evolution Based Algorithm for Solving Multi-objective Bilevel Optimization Problems. - Md. Monjurul Islam; Hemant Kumar Singh; Tapabrata Ray (ACALCI, 2016)

Use of Infeasible Solutions During Constrained Evolutionary Search: A Short Survey. - Hemant Kumar Singh; Khairul Alam; Tapabrata Ray (ACALCI, 2016)

Multiple surrogate assisted multiobjective optimization using improved pre-selection. - Kalyan Shankar Bhattacharjee; Hemant Kumar Singh; Tapabrata Ray; Jürgen Branke (CEC, 2016)

Finding robust solutions for resource constrained project scheduling problems involving uncertainties. - Shelvin Chand; Hemant Kumar Singh; Tapabrata Ray (CEC, 2016)

A multi-objective batch infill strategy for efficient global optimization. - Ahsanul Habib; Hemant Kumar Singh; Tapabrata Ray (CEC, 2016)

Optimum redesign of scale-free networks with robustness and cost considerations. - Quang Nhat Huynh; Hemant Kumar Singh; Tapabrata Ray (CEC, 2016)

A memetic algorithm for solving bilevel optimization problems with multiple followers. - Md. Monjurul Islam; Hemant Kumar Singh; Tapabrata Ray (CEC, 2016)

A CUDA Implementation of an Improved Decomposition Based Evolutionary Algorithm for Multi-Objective Optimization. - Md. Asafuddoula; Hemant Kumar Singh; Tapabrata Ray (GECCO (Companion), 2016)

A Semantics based Symbolic Regression Framework for Mining Explicit and Implicit Equations from Data. - Quang Nhat Huynh; Hemant Kumar Singh; Tapabrata Ray (GECCO (Companion), 2016)

A study on the effectiveness of constraint handling schemes within Efficient Global Optimization framework. - Ahsanul Habib; Hemant Kumar Singh; Tapabrata Ray (SSCI, 2016)

Improving Symbolic Regression through a semantics-driven framework. - Quang Nhat Huynh; Hemant Kumar Singh; Tapabrata Ray (SSCI, 2016)

Development of optimization methods to deal with current challenges in engineering design optimization. - Hemant Kumar Singh (AI Commun., 2016)

A Batch Infill Strategy for Computationally Expensive Optimization Problems. - Ahsanul Habib; Hemant Kumar Singh; Tapabrata Ray (ACALCI, 2017)

Enhanced Pareto Interpolation Method to Aid Decision Making for Discontinuous Pareto Optimal Fronts. - Kalyan Shankar Bhattacharjee; Hemant Kumar Singh; Tapabrata Ray (Australasian Conference on Artificial Intelligence, 2017)

Use of a Non-nested Formulation to Improve Search for Bilevel Optimization. - Md. Monjurul Islam; Hemant Kumar Singh; Tapabrata Ray (Australasian Conference on Artificial Intelligence, 2017)

Decomposition Based Evolutionary Algorithm with a Dual Set of reference vectors. - Kalyan Shankar Bhattacharjee; Hemant Kumar Singh; Tapabrata Ray; Qingfu Zhang 001 (CEC, 2017)

A heuristic algorithm for solving resource constrained project scheduling problems. - Shelvin Chand; Hemant Kumar Singh; Tapabrata Ray (CEC, 2017)

Accelerating MOEA/D by Nelder-Mead method. - Hanwei Zhang; Aimin Zhou; Guixu Zhang; Hemant Kumar Singh (CEC, 2017)

Improvement of Reference Points for Decomposition Based Multi-objective Evolutionary Algorithms. - Hemant Kumar Singh; Xin Yao 001 (SEAL, 2017)

An Enhanced Memetic Algorithm for Single-Objective Bilevel Optimization Problems. - Md. Monjurul Islam; Hemant Kumar Singh; Tapabrata Ray; Ankur Sinha 001 (Evol. Comput., 2017)

An approach to generate comprehensive piecewise linear interpolation of pareto outcomes to aid decision making. - Kalyan Shankar Bhattacharjee; Hemant Kumar Singh; Tapabrata Ray (J. Glob. Optim., 2017)

Bridging the Gap: Many-Objective Optimization and Informed Decision-Making. - Kalyan Shankar Bhattacharjee; Hemant Kumar Singh; Michael J. Ryan; Tapabrata Ray (IEEE Trans. Evol. Comput., 2017)

A Surrogate Assisted Approach for Single-Objective Bilevel Optimization. - Md. Monjurul Islam; Hemant Kumar Singh; Tapabrata Ray (IEEE Trans. Evol. Comput., 2017)

Uncovering Performance Envelopes Through Optimum Design of Tests. - Tapabrata Ray; Ahsanul Habib; Hemant Kumar Singh; Michael J. Ryan (Australasian Conference on Artificial Intelligence, 2018)

Investigation of a Simple Distance Based Ranking Metric for Decomposition-Based Multi/Many-Objective Evolutionary Algorithms. - Hemant Kumar Singh; Kalyan Shankar Bhattacharjee; Tapabrata Ray; Sanaz Mostaghim (Australasian Conference on Artificial Intelligence, 2018)

Team Selection Using Multi-/Many-Objective Optimization with Integer Linear Programming. - Shelvin Chand; Hemant Kumar Singh; Tapabrata Ray (CEC, 2018)

Efficient Global Optimization for Solving Computationally Expensive Bilevel Optimization Problems. - Md. Monjurul Islam; Hemant Kumar Singh; Tapabrata Ray (CEC, 2018)

Balancing Survival of Feasible and Infeasible Solutions in Constraint Evolutionary Optimization Algorithms. - Zhichao Lu; Kalyanmoy Deb; Hemant K. Singh (CEC, 2018)

Automatic estimation of differential evolution parameters using Hidden Markov Models. - Marwa Keshk; Hemant K. Singh; Hussein A. Abbass (Evol. Intell., 2018)

On the use of genetic programming to evolve priority rules for resource constrained project scheduling problems. - Shelvin Chand; Quang Nhat Huynh; Hemant K. Singh; Tapabrata Ray; Markus Wagner 007 (Inf. Sci., 2018)

An Enhanced Decomposition-Based Evolutionary Algorithm With Adaptive Reference Vectors. - Md. Asafuddoula; Hemant Kumar Singh; Tapabrata Ray (IEEE Trans. Cybern., 2018)

Genetic Programming With Mixed-Integer Linear Programming-Based Library Search. - Quang Nhat Huynh; Shelvin Chand; Hemant Kumar Singh; Tapabrata Ray (IEEE Trans. Evol. Comput., 2018)

Rollout based Heuristics for the Quantum Circuit Compilation Problem. - Shelvin Chand; Hemant Kumar Singh; Tapabrata Ray; Michael J. Ryan (CEC, 2019)

Investigating the use of sequencing and infeasibility driven strategies for constrained optimization. - Kamrul Hasan Rahi; Hemant Kumar Singh; Tapabrata Ray (CEC, 2019)

Modulation of Force Vectors for Effective Shepherding of a Swarm: A Bi-Objective Approach. - Hemant K. Singh; Benjamin Campbell; Saber M. Elsayed; Anthony Perry; Robert A. Hunjet; Hussein A. Abbass (CEC, 2019)

Optimum Wind Farm Layouts: A Many-Objective Perspective and Case Study. - Kalyan Shankar Bhattacharjee; Hemant Kumar Singh; Tapabrata Ray (EMO, 2019)

A component-wise study of K-RVEA: observations and potential future developments. - Ahsanul Habib; Hemant Kumar Singh; Tapabrata Ray (GECCO (Companion), 2019)

Investigating the use of linear programming to solve implicit symbolic regression problems. - Quang Nhat Huynh; Hemant Kumar Singh; Tapabrata Ray (GECCO (Companion), 2019)

A parametric investigation of PBI and AASF scalarizations. - Hemant Kumar Singh; Kalyanmoy Deb (GECCO (Companion), 2019)

Identifying solutions of interest for practical many-objective problems using recursive expected marginal utility. - Hemant Kumar Singh; Tapabrata Ray; Tobias Rodemann; Markus Olhofer (GECCO (Companion), 2019)

Contextual Awareness in Human-Advanced-Vehicle Systems: A Survey. - Raul Fernandez Rojas; Anthony Perry; Hemant K. Singh; Benjamin Campbell; Saber M. Elsayed; Robert A. Hunjet; Hussein A. Abbass (IEEE Access, 2019)

A multiple surrogate assisted multi/many-objective multi-fidelity evolutionary algorithm. - Ahsanul Habib; Hemant K. Singh; Tapabrata Ray (Inf. Sci., 2019)

Evolving heuristics for the resource constrained project scheduling problem with dynamic resource disruptions. - Shelvin Chand; Hemant K. Singh; Tapabrata Ray (Swarm Evol. Comput., 2019)

Evolving rollout-justification based heuristics for resource constrained project scheduling problems. - Shelvin Chand; Hemant K. Singh; Tapabrata Ray (Swarm Evol. Comput., 2019)

Nested evolutionary algorithms for computationally expensive bilevel optimization problems: Variants and their systematic analysis. - Hemant Kumar Singh; Md. Monjurul Islam; Tapabrata Ray; Michael J. Ryan (Swarm Evol. Comput., 2019)

A Multiple Surrogate Assisted Decomposition-Based Evolutionary Algorithm for Expensive Multi/Many-Objective Optimization. - Ahsanul Habib; Hemant Kumar Singh; Tinkle Chugh; Tapabrata Ray; Kaisa Miettinen (IEEE Trans. Evol. Comput., 2019)

Distance-Based Subset Selection for Benchmarking in Evolutionary Multi/Many-Objective Optimization. - Hemant Kumar Singh; Kalyan Shankar Bhattacharjee; Tapabrata Ray (IEEE Trans. Evol. Comput., 2019)

Online intensification of search around solutions of interest for multi/many-objective optimization. - Tapabrata Ray; Hemant Kumar Singh; Ahsanul Habib; Tobias Rodemann; Markus Olhofer (CEC, 2020)

A preliminary study towards an improved shepherding model. - Heba El-Fiqi; Benjamin Campbell; Saber M. Elsayed; Anthony Perry; Hemant Kumar Singh; Robert A. Hunjet; Hussein A. Abbass (GECCO Companion, 2020)

Wind-turbine design optimization using a many-objective evolutionary algorithm. - Ahsanul Habib; Kamrul Hasan Rahi; Hemant Kumar Singh; Tapabrata Ray (GECCO Companion, 2020)

Expediting the convergence of evolutionary algorithms by identifying promising regions of the search space. - Kamrul Hasan Rahi; Ahsanul Habib; Hemant Kumar Singh; Tapabrata Ray (GECCO Companion, 2020)

Path Planning for Shepherding a Swarm in a Cluttered Environment using Differential Evolution. - Saber M. Elsayed; Hemant K. Singh; Essam Soliman Debie; Anthony Perry; Benjamin Campbell; Robert A. Hunjet; Hussein A. Abbass (SSCI, 2020)

The Limits of Reactive Shepherding Approaches for Swarm Guidance. - Heba El-Fiqi; Benjamin Campbell; Saber M. Elsayed; Anthony Perry; Hemant Kumar Singh; Robert A. Hunjet; Hussein A. Abbass (IEEE Access, 2020)

Investigating the equivalence between PBI and AASF scalarization for multi-objective optimization. - Hemant Kumar Singh; Kalyanmoy Deb (Swarm Evol. Comput., 2020)

Understanding Hypervolume Behavior Theoretically for Benchmarking in Evolutionary Multi/Many-Objective Optimization. - Hemant Kumar Singh (IEEE Trans. Evol. Comput., 2020)

Many-Objective Optimization with Limited Computing Budget. - Kalyan Shankar Bhattacharjee; Hemant Kumar Singh; Tapabrata Ray (High-Performance Simulation-Based Optimization, 2020)

Comparing Expected Improvement and Kriging Believer for Expensive Bilevel Optimization. - Bing Wang; Hemant Kumar Singh; Tapabrata Ray (CEC, 2021)

A Fast Converging Evolutionary Algorithm for Constrained Multiobjective Portfolio Optimization. - Yi Chen; Hemant Kumar Singh; Aimin Zhou; Tapabrata Ray (EMO, 2021)

Investigating Normalization Bounds for Hypervolume-Based Infill Criterion for Expensive Multiobjective Optimization. - Bing Wang; Hemant Kumar Singh; Tapabrata Ray (EMO, 2021)

Multi-objective optimization across multiple concepts: a case study on lattice structure design. - Brandon Parker; Hemant Kumar Singh; Tapabrata Ray (GECCO, 2021)

Bridging kriging believer and expected improvement using bump hunting for expensive black-box optimization. - Bing Wang; Hemant Kumar Singh; Tapabrata Ray (GECCO Companion, 2021)

A Neuro-Evolution Approach to Shepherding Swarm Guidance in the Face of Uncertainty. - Essam Soliman Debie; Hemant K. Singh; Saber M. Elsayed; Anthony Perry; Robert A. Hunjet; Hussein A. Abbass (SMC, 2021)

Feasibility-ratio based sequencing for computationally efficient constrained optimization. - Kamrul Hasan Rahi; Hemant Kumar Singh; Tapabrata Ray (Swarm Evol. Comput., 2021)

Partial Evaluation Strategies for Expensive Evolutionary Constrained Optimization. - Kamrul Hasan Rahi; Hemant Kumar Singh; Tapabrata Ray (IEEE Trans. Evol. Comput., 2021)

A Simple Evolutionary Algorithm for Multi-modal Multi-objective Optimization. - Tapabrata Ray; Mohammad Mohiuddin Mamun; Hemant Kumar Singh (CEC, 2022)

Investigating Neighborhood Solution Transfer Schemes for Bilevel Optimization. - Bing Wang; Hemant Kumar Singh; Tapabrata Ray (CEC, 2022)

Discovery of implicit relationships from data using linear programming and mixed integer linear programming. - Quang Nhat Huynh; Hemant Kumar Singh; Tapabrata Ray (GECCO Companion, 2022)

Identifying Stochastically Non-dominated Solutions Using Evolutionary Computation. - Hemant Kumar Singh; Jürgen Branke (PPSN (2), 2022)

Improved Genetic Programming for Symbolic Regression: Case Studies on Practical Applications. - Quang Nhat Huynh; Hemant K. Singh; Tapabrata Ray; Akira Oyama (SSCI, 2022)

Investigating the Use of Linear Programming and Evolutionary Algorithms for Multi-Objective Electric Vehicle Charging Problem. - Hemant Kumar Singh; Tapabrata Ray; Md Juel Rana; Steffen Limmer; Tobias Rodemann; Markus Olhofer (IEEE Access, 2022)

Towards identification of solutions of interest for multi-objective problems considering both objective and variable space information. - Tapabrata Ray; Hemant Kumar Singh; Kamrul Hasan Rahi; Tobias Rodemann; Markus Olhofer (Appl. Soft Comput., 2022)

An approach for computationally expensive multi-objective optimization problems with independently evaluable objectives. - Mohammad Mohiuddin Mamun; Hemant Kumar Singh; Tapabrata Ray (Swarm Evol. Comput., 2022)

A Multifidelity Approach for Bilevel Optimization With Limited Computing Budget. - Mohammad Mohiuddin Mamun; Hemant Kumar Singh; Tapabrata Ray (IEEE Trans. Evol. Comput., 2022)

Effective Robotic Swarm Shepherding in the Presence of Obstacles. - Jing Liu 029; Hemant K. Singh; Saber M. Elsayed; Robert A. Hunjet; Hussein A. Abbass (CEC, 2023)

A Generalized Surrogate-Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization. - Kamrul Hasan Rahi; Hemant Kumar Singh; Tapabrata Ray (CEC, 2023)

An Evaluation of Simple Solution Transfer Strategies for Bilevel Multiobjective Optimization. - Bing Wang; Hemant Kumar Singh; Tapabrata Ray (CEC, 2023)

A Test Suite for Multi-objective Multi-fidelity Optimization. - Angus Kenny; Tapabrata Ray; Hemant Kumar Singh; Xiaodong Li 001 (EMO, 2023)

Hybridizing TPOT with Bayesian Optimization. - Angus Kenny; Tapabrata Ray; Steffen Limmer; Hemant Kumar Singh; Tobias Rodemann; Markus Olhofer (GECCO, 2023)

Vertical-Axis Wind Turbine Design Using Surrogate-assisted Optimization with Physical Experiments In-loop. - Matthew Lette; Kamrul Hasan Rahi; Hemant Kumar Singh; Tapabrata Ray (GECCO, 2023)

A Comparative Study of Neural Style Transfer Models. - Vedika Srivastava; Hemant Kumar Singh (ICIMMI, 2023)

Multi-agent Knowledge Transfer in a Society of Interpretable Neural Network Minds for Dynamic Context Formation in Swarm Shepherding. - Duy Tung Nguyen; Hemant K. Singh; Saber M. Elsayed; Robert A. Hunjet; Hussein A. Abbass (IJCNN, 2023)

Distance Constrained Robotic Swarm Shepherding Based on Two-Phase Ant Colony Optimisation. - Jing Liu 029; Hemant K. Singh; Saber M. Elsayed; Robert A. Hunjet; Hussein A. Abbass (SMC, 2023)

A Brief Review of Multi-Concept Multi-Objective Optimization Problems. - Rounak Saha Niloy; Hemant Kumar Singh; Tapabrata Ray (SSCI, 2023)

Planning-assisted autonomous swarm shepherding with collision avoidance. - Jing Liu 029; Hemant K. Singh; Saber M. Elsayed; Robert A. Hunjet; Hussein A. Abbass (CoRR, 2023)

An Iterative Two-Stage Multifidelity Optimization Algorithm for Computationally Expensive Problems. - Angus Kenny; Tapabrata Ray; Hemant Kumar Singh (IEEE Trans. Evol. Comput., 2023)

A Steady-State Algorithm for Solving Expensive Multiobjective Optimization Problems With Nonparallelizable Evaluations. - Kamrul Hasan Rahi; Hemant Kumar Singh; Tapabrata Ray (IEEE Trans. Evol. Comput., 2023)

Decomposition of Difficulties in Complex Optimization Problems using a Bilevel Approach. - Ankur Sinha 001; Dhaval Pujara; Hemant Kumar Singh (CEC, 2024)

Improving the Performance of Bilevel Evolutionary Algorithms using Variable Associations. - Bing Wang; Hemant Kumar Singh; Tapabrata Ray (CEC, 2024)

A Hierarchical Dissimilarity Metric for Automated Machine Learning Pipelines, and Visualizing Search Behaviour. - Angus Kenny; Tapabrata Ray; Steffen Limmer; Hemant Kumar Singh; Tobias Rodemann; Markus Olhofer (EvoApplications@EvoStar, 2024)

Evolutionary computation for stochastic problems. - Frank Neumann 001; Aneta Neumann; Hemant Kumar Singh (GECCO Companion, 2024)

Using Bayesian Optimization to Improve Hyperparameter Search in TPOT. - Angus Kenny; Tapabrata Ray; Steffen Limmer; Hemant Kumar Singh; Tobias Rodemann; Markus Olhofer (GECCO, 2024)

Towards solving expensive optimization problems with heterogeneous constraint costs. - Kamrul Hasan Rahi; Hemant K. Singh; Tapabrata Ray (GECCO Companion, 2024)

Pareto Set Prediction Assisted Bilevel Multi-objective Optimization. - Bing Wang; Hemant K. Singh; Tapabrata Ray (CoRR, 2024)

A benchmark test suite for evolutionary multi-objective multi-concept optimization. - Rounak Saha Niloy; Hemant Kumar Singh; Tapabrata Ray (Swarm Evol. Comput., 2024)

Introduction to the Special Issue on Data-Driven Evolutionary Computation. - Yaochu Jin; Xilu Wang 001; Hemant K. Singh; Tinkle Chugh; Alma Rahat (ACM Trans. Evol. Learn. Optim., 2024)

An Extension of the Welded Beam Problem that Includes Multiple Interacting Design Concepts. - Angus Kenny; Tapabrata Ray; Hemant Kumar Singh (EMO (1), 2025)

An Efficient Iterative Approach for Uniformly Representing Pareto Fronts. - Bhupinder Singh Saini; Hemant Kumar Singh; Babooshka Shavazipour; Kaisa Miettinen (EMO (2), 2025)

Extended Results on Analytical Hypervolume Indicator Calculation of Linear and Quadratic Pareto Fronts. - Hemant Kumar Singh (EMO (1), 2025)

Bilevel Optimization-Based Decomposition for Solving Single and Multiobjective Optimization Problems. - Ankur Sinha 001; Dhaval Pujara; Hemant Kumar Singh (EMO (1), 2025)

Selective Evaluations for Expediting Multi-objective Bilevel Optimization. - Bing Wang; Hemant Kumar Singh; Tapabrata Ray (EMO (1), 2025)

Multi-objective L-shaped Test Functions. - Angus Kenny; Tapabrata Ray; Hemant K. Singh (GECCO, 2025)

Geolocating Earth Imagery from ISS: Integrating Machine Learning with Astronaut Photography for Enhanced Geographic Mapping. - Vedika Srivastava; Hemant Kumar Singh; Jaisal Singh (CoRR, 2025)