Hemant K. Singh

According to our database1, Hemant K. Singh authored at least 91 papers between 2008 and 2022.

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Bibliography

2022
A Multifidelity Approach for Bilevel Optimization With Limited Computing Budget.
IEEE Trans. Evol. Comput., 2022

A Simple Evolutionary Algorithm for Multi-modal Multi-objective Optimization.
CoRR, 2022

Towards identification of solutions of interest for multi-objective problems considering both objective and variable space information.
Appl. Soft Comput., 2022

2021
Partial Evaluation Strategies for Expensive Evolutionary Constrained Optimization.
IEEE Trans. Evol. Comput., 2021

Feasibility-ratio based sequencing for computationally efficient constrained optimization.
Swarm Evol. Comput., 2021

A Neuro-Evolution Approach to Shepherding Swarm Guidance in the Face of Uncertainty.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Bridging kriging believer and expected improvement using bump hunting for expensive black-box optimization.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Multi-objective optimization across multiple concepts: a case study on lattice structure design.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Investigating Normalization Bounds for Hypervolume-Based Infill Criterion for Expensive Multiobjective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

A Fast Converging Evolutionary Algorithm for Constrained Multiobjective Portfolio Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Comparing Expected Improvement and Kriging Believer for Expensive Bilevel Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Many-Objective Optimization with Limited Computing Budget.
Proceedings of the High-Performance Simulation-Based Optimization, 2020

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

Investigating the equivalence between PBI and AASF scalarization for multi-objective optimization.
Swarm Evol. Comput., 2020

The Limits of Reactive Shepherding Approaches for Swarm Guidance.
IEEE Access, 2020

Path Planning for Shepherding a Swarm in a Cluttered Environment using Differential Evolution.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Expediting the convergence of evolutionary algorithms by identifying promising regions of the search space.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Wind-turbine design optimization using a many-objective evolutionary algorithm.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

A preliminary study towards an improved shepherding model.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Online intensification of search around solutions of interest for multi/many-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Distance-Based Subset Selection for Benchmarking in Evolutionary Multi/Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2019

A Multiple Surrogate Assisted Decomposition-Based Evolutionary Algorithm for Expensive Multi/Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2019

Nested evolutionary algorithms for computationally expensive bilevel optimization problems: Variants and their systematic analysis.
Swarm Evol. Comput., 2019

Evolving rollout-justification based heuristics for resource constrained project scheduling problems.
Swarm Evol. Comput., 2019

Evolving heuristics for the resource constrained project scheduling problem with dynamic resource disruptions.
Swarm Evol. Comput., 2019

A multiple surrogate assisted multi/many-objective multi-fidelity evolutionary algorithm.
Inf. Sci., 2019

Contextual Awareness in Human-Advanced-Vehicle Systems: A Survey.
IEEE Access, 2019

Identifying solutions of interest for practical many-objective problems using recursive expected marginal utility.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

A parametric investigation of PBI and AASF scalarizations.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Investigating the use of linear programming to solve implicit symbolic regression problems.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

A component-wise study of K-RVEA: observations and potential future developments.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Optimum Wind Farm Layouts: A Many-Objective Perspective and Case Study.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Modulation of Force Vectors for Effective Shepherding of a Swarm: A Bi-Objective Approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Investigating the use of sequencing and infeasibility driven strategies for constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Rollout based Heuristics for the Quantum Circuit Compilation Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Genetic Programming With Mixed-Integer Linear Programming-Based Library Search.
IEEE Trans. Evol. Comput., 2018

An Enhanced Decomposition-Based Evolutionary Algorithm With Adaptive Reference Vectors.
IEEE Trans. Cybern., 2018

On the use of genetic programming to evolve priority rules for resource constrained project scheduling problems.
Inf. Sci., 2018

Automatic estimation of differential evolution parameters using Hidden Markov Models.
Evol. Intell., 2018

Balancing Survival of Feasible and Infeasible Solutions in Constraint Evolutionary Optimization Algorithms.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Efficient Global Optimization for Solving Computationally Expensive Bilevel Optimization Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Team Selection Using Multi-/Many-Objective Optimization with Integer Linear Programming.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Investigation of a Simple Distance Based Ranking Metric for Decomposition-Based Multi/Many-Objective Evolutionary Algorithms.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Uncovering Performance Envelopes Through Optimum Design of Tests.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017
A Surrogate Assisted Approach for Single-Objective Bilevel Optimization.
IEEE Trans. Evol. Comput., 2017

Bridging the Gap: Many-Objective Optimization and Informed Decision-Making.
IEEE Trans. Evol. Comput., 2017

An approach to generate comprehensive piecewise linear interpolation of pareto outcomes to aid decision making.
J. Glob. Optim., 2017

An Enhanced Memetic Algorithm for Single-Objective Bilevel Optimization Problems.
Evol. Comput., 2017

Improvement of Reference Points for Decomposition Based Multi-objective Evolutionary Algorithms.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Accelerating MOEA/D by Nelder-Mead method.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

A heuristic algorithm for solving resource constrained project scheduling problems.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Decomposition Based Evolutionary Algorithm with a Dual Set of reference vectors.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Use of a Non-nested Formulation to Improve Search for Bilevel Optimization.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017

Enhanced Pareto Interpolation Method to Aid Decision Making for Discontinuous Pareto Optimal Fronts.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017

A Batch Infill Strategy for Computationally Expensive Optimization Problems.
Proceedings of the Artificial Life and Computational Intelligence, 2017

2016
Development of optimization methods to deal with current challenges in engineering design optimization.
AI Commun., 2016

Improving Symbolic Regression through a semantics-driven framework.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A study on the effectiveness of constraint handling schemes within Efficient Global Optimization framework.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A Semantics based Symbolic Regression Framework for Mining Explicit and Implicit Equations from Data.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

A CUDA Implementation of an Improved Decomposition Based Evolutionary Algorithm for Multi-Objective Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

A memetic algorithm for solving bilevel optimization problems with multiple followers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Optimum redesign of scale-free networks with robustness and cost considerations.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A multi-objective batch infill strategy for efficient global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Finding robust solutions for resource constrained project scheduling problems involving uncertainties.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Multiple surrogate assisted multiobjective optimization using improved pre-selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Use of Infeasible Solutions During Constrained Evolutionary Search: A Short Survey.
Proceedings of the Artificial Life and Computational Intelligence, 2016

A Nested Differential Evolution Based Algorithm for Solving Multi-objective Bilevel Optimization Problems.
Proceedings of the Artificial Life and Computational Intelligence, 2016

A Study on Performance Metrics to Identify Solutions of Interest from a Trade-Off Set.
Proceedings of the Artificial Life and Computational Intelligence, 2016

2015
Six-Sigma Robust Design Optimization Using a Many-Objective Decomposition-Based Evolutionary Algorithm.
IEEE Trans. Evol. Comput., 2015

Characterizing Pareto Front Approximations in Many-objective Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Re-design for Robustness: An Approach Based on Many Objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

A multi-objective genetic programming approach to uncover explicit and implicit equations from data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A Memetic Algorithm for solving single objective bilevel optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Performance of a steady state quantum genetic algorithm for multi/many-objective engineering optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
A hybrid surrogate based algorithm (HSBA) to solve computationally expensive optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Solving problems with a mix of hard and soft constraints using modified infeasibility driven evolutionary algorithm (IDEA-M).
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A memetic algorithm with a new split scheme for solving dynamic capacitated arc routing problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A benchmark generator for dynamic capacitated arc routing problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Optimum Oil Production Planning Using Infeasibility Driven Evolutionary Algorithm.
Evol. Comput., 2013

2011
A Pareto Corner Search Evolutionary Algorithm and Dimensionality Reduction in Many-Objective Optimization Problems.
IEEE Trans. Evol. Comput., 2011

Performance of a hybrid EA-DE-memetic algorithm on CEC 2011 real world optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
C-PSA: Constrained Pareto simulated annealing for constrained multi-objective optimization.
Inf. Sci., 2010

Performance of infeasibility empowered memetic algorithm for CEC 2010 constrained optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Surrogate assisted Simulated Annealing (SASA) for constrained multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Performance of Infeasibility Empowered Memetic Algorithm (IEMA) on Engineering Design Problems.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

2009
An improved secondary ranking for many objective optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Performance of infeasibility driven evolutionary algorithm (IDEA) on constrained dynamic single objective optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
A Study on the Performance of Substitute Distance Based Approaches for Evolutionary Many Objective Optimization.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

A Simulated Annealing Algorithm for Single Objective Trans-Dimensional Optimization Problems.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

A simulated annealing algorithm for constrained Multi-Objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Infeasibility Driven Evolutionary Algorithm (IDEA) for Engineering Design Optimization.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008


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