Journal Publications

• Subhajit Sanfui and Deepak Sharma, 2024, "Soft- and Hard-Kill Hybrid GPU-based Bi-Directional Evolutionary Structural Optimization", ASME Journal of Computing and Information Science in Engineering (Accepted) https://doi.org/10.1115/1.4064070.
• Utpal Kiran, Deepak Sharma, and Sachin Singh Gautam, 2024, "Development of GPU-based matrix-free strategies for large-scale elastoplasticity analysis using conjugate gradient solver", Numerical Methods in Engineering (Accepted) https://doi.org/10.1002/nme.7421
• Utpal Kiran, Deepak Sharma, and Sachin Singh Gautam, 2023, "An efficient framework for matrix-free SpMV computation on GPU for elastoplastic problems", Mathematics and Computers in Simulation, 216, 2024, 318-346, https://doi.org/10.1016/j.matcom.2023.09.016
• Raktim Biswas and Deepak Sharma, 2023, "Chaos Control Assisted Single-Loop Multi-Objective Reliability-Based Design Optimization Using Differential Evolution", Swarm and Evolutionary Computation, 81, 101340 (11 pages), https://doi.org/10.1016/j.swevo.2023.101340
• Subhajit Sanfui and Deepak Sharma, 2023, "GPU-based Mesh Reduction Strategy Utilizing Active Nodes for Structural Topology Optimization", Structures, 55, 570 – 586. https://doi.org/10.1016/j.istruc.2023.05.079
• Utpal Kiran, Deepak Sharma, and Sachin Singh Gautam, 2023, "A GPU-based Framework for Finite Element Analysis of Elastoplastic Problems", Computing, 105, 673–1696 https://doi.org/10.1007/s00607-023-01169-7
• Raktim Biswas and Deepak Sharma, 2023, "Single-Loop Multi-Objective Reliability-Based Design Optimization Using Chaos Control Theory and Shifting Vector with Differential Evolution", Mathematical and Computational Applications, 28(1):26. https://doi.org/10.3390/mca28010026
• Raktim Biswas and Deepak Sharma, 2023, "A Single-Loop Reliability-based Design Optimization using Adaptive Differential Evolution", Applied Soft Computing, 132, 109907 (16 pages) https://doi.org/10.1016/j.asoc.2022.109907.
• Vedant Sharma, Deepak Sharma and Ashish Anand, 2022, "Hybrid Multi-Scale Convolutional Long Short-Term Memory Network for Remaining Useful Life Prediction and Offset Analysis", ASME Journal of Computing and Information Science in Engineering, 23(4), 041006 (12 pages) https://doi.org/10.1115/1.4056433.
• Deepak Sharma, Devang Agarwal and Santosh Kumar, 2023, "Reference-Lines Steered Guide Assignment and Update For Pareto-Based Many-Objective Particle Swarm Optimization", Evolutionary Intelligence, 16, 89–114. https://doi.org/10.1007/s12065-021-00644-4 (pdf)
• Shashi Kant Ratnakar, Utpal Kiran and Deepak Sharma, 2022, "Acceleration of Structural Topology Optimization using Symmetric Element-by-Element Strategy for Unstructured Meshes on GPU", Engineering Computations, 39(10), 3354-3375. https://doi.org/10.1108/EC-01-2022-0022.
• Raktim Biswas and Deepak Sharma, 2023, "An Approximate Single-Loop Chaos Control Method for Reliability-Based Design Optimization using Conjugate Gradient Search Directions", Engineering Optimization, 55 (3), 382-398. https://doi.org/10.1080/0305215X.2021.2007242
• Shashi Kant Ratnakar, Subhajit Sanfui and Deepak Sharma, 2022, "GPU-based Element-by-Element Strategies for Accelerating Topology Optimization of 3D Continuum Structures Using Unstructured Mesh", ASME Journal of Computing and Information Science in Engineering, 22(2): 021013 (11 pages). https://doi.org/10.1115/1.4052892 (pdf)
• Subhajit Sanfui and Deepak Sharma, 2022, "Symbolic and Numeric Kernel Division for GPU-based FEA Assembly of Regular Meshes with Modified Sparse Storage Formats", ASME Journal of Computing and Information Science in Engineering, 22(1), 011005 (12 pages). https://doi.org/10.1115/1.4051123 (pdf)
• Deepak Sharma, Somnath Vats and Satyam Saurabh, 2021, "Diversity Preference-based Many-Objective Particle Swarm Optimization Using Reference-Lines-based Framework", Swarm and Evolutionary Computation, 65, 100910, 1 – 18. https://doi.org/10.1016/j.swevo.2021.100910 (pdf)(Source code MaOPSO-DP)
• Riddhiman Saikia and Deepak Sharma, 2021, "Reference-Lines-Steered Memetic Multi-Objective Evolutionary Algorithm with Adaptive Termination Criterion", Memetic Computing, 13, 49 – 67, https://doi.org/10.1007/s12293-021-00324-x (pdf)
• Raktim Biswas and Deepak Sharma, 2021, "A Single-Loop Shifting Vector Method with Conjugate Gradient Search for Reliability based-Design Optimization", Engineering Optimization, 53 (6), 1044 – 1063, https://doi.org/10.1080/0305215X.2020.1770745 (pdf)
• Utpal Kiran, Sachin Singh Gautam and Deepak Sharma, 2020, "GPU-based Matrix-Free Finite Element Solver Exploiting Symmetry of Elemental Matrices", Computing, 102, 1941 – 1965, https://doi.org/10.1007/s00607-020-00827-4 (pdf)
• Subhajit Sanfui and Deepak Sharma, 2020, "A Three‐Stage GPU‐based FEA Matrix Generation Strategy for Unstructured Meshes", International Journal of Numerical Methods in Engineering, 121 (17), 3824 - 3848. https://doi.org/10.1002/nme.6383 (pdf)
• Deepak Sharma and Pradyumn K. Shukla, 2019, "Line-Prioritized Environmental Selection and Normalization Scheme for Many-Objective Optimization using Reference-Lines-based Framework", Swarm and Evolutionary Computation, 51, 100592, 1 - 18. https://doi.org/10.1016/j.swevo.2019.100592 (pdf)(Source code LEAF)(Source code NNSGA-III)
• Utpal Kiran, Deepak Sharma and Sachin Singh Gautam, 2019, "GPU-Warp based Finite Element Matrices Generation and Assembly using Coloring Method", Journal of Computational Design and Engineering, 6(4), 705 – 718. https://doi.org/10.1016/j.jcde.2018.11.001 (pdf)
• Parth Paritosh, Bhaben Kalita and Deepak Sharma, 2019, "A Game Theory based Land Layout Optimization of Cities Using Genetic Algorithm", International Journal of Management Science and Engineering Management, 14 (3), 155 - 168. https://doi.org/10.1080/17509653.2018.1505566 (pdf)
• Nada Barakat and Deepak Sharma, 2019, "Evolutionary Multi-Objective Optimization for Bulldozer and its Blade in Soil Cutting", International Journal of Management Science and Engineering Management, 14 (2), 102 - 112. https://doi.org/10.1080/17509653.2018.1500953 (pdf)
• Nada Barakat and Deepak Sharma, 2019, "Evolutionary Bi-Objective Optimization for Bulldozer and its Blade in Soil Cutting", Journal of The Institution of Engineers (India): Series C, 100 (2), 295 – 310. https://doi.org/10.1007/s40032-017-0437-z
• Nada Barakat and Deepak Sharma, 2019, "Modeling and Bi-Objective Optimization of Soil Cutting and Pushing Process for Bulldozer and its Blade", Journal of The Institution of Engineers (India): Series C, 100 (1), 129 – 143. https://doi.org/10.1007/s40032-017-0421-7
• Satheeshkumar V, R. Ganesh Narayanan and Deepak Sharma, 2017, "Prediction of Formability of Adhesive Bonded Sheets through Neural Network", International Journal of Mechatronics and Manufacturing Systems, 10 (4), 321 – 354. https://doi.org/10.1504/IJMMS.2017.088936
• Laxman Ram and Deepak Sharma, 2017, "Evolutionary and GPU Computing for Topology Optimization of Structures", Swarm and Evolutionary Computation, 35, 1 - 13. (pdf) https://doi.org/10.1016/j.swevo.2016.08.004
• Nayan Jyoti Baishya, Deepak Sharma and Uday S. Dixit, 2014, "Optimization of Pressure Vessel Under Thermo-Elastic Condition", Journal of The Institution of Engineers (India): Series C, 95 (4), 389 - 400. (pdf) https://doi.org/10.1007/s40032-014-0149-6
• Deepak Sharma and Kalyanmoy Deb, 2014, "Generation of Compliant Mechanisms using Hybrid Genetic Algorithm", Journal of The Institution of Engineers (India): Series C, 95 (4), 295 - 307. (pdf) https://doi.org/10.1007/s40032-014-0127-z
• Deepak Sharma and Kalyanmoy Deb, N. N. Kishore, 2014, "Customized Evolutionary Optimization Procedure for Generating Minimum Weight Compliant Mechanisms", Engineering Optimization, 46 (1), 39 - 60. (pdf) https://doi.org/10.1080/0305215X.2012.743535
• Deepak Sharma, Anupam Trivedi, Dipti Srinivasan and Logenthiran Thillainathan, 2013, "Multi-Agent Modeling for Solving Profit Based Unit Commitment Problem", Applied Soft Computing, 13 (8), 3751 - 3761. (pdf) https://doi.org/10.1016/j.asoc.2013.04.001
• Anupam Trivedi, Dipti Srinivasan, Deepak Sharma and Chanan Singh, 2013, "Evolutionary Multi-objective Day-Ahead Thermal Generation Scheduling in Uncertain Environment", Power Systems, IEEE Transactions on, 28 (2), 1345 - 1354. (pdf) DOI: 10.1109/TPWRS.2012.2222939
• Deepak Sharma, Kalyanmoy Deb and N. N. Kishore, 2011, "Domain-Specific Initial Population Strategy for Compliant Mechanisms Using Customized Genetic Algorithm", Structural and Multidisciplinary Optimization, 43 (4), 541 - 554. (pdf) https://doi.org/10.1007/s00158-010-0575-x

Book Chapters

• Ogier Maitre, Frederic Kruger, Deepak Sharma, Stephane Querry, Nicolas Lachiche and Pierre Collet, “Parallelizing Evolutionary Algorithms on GPGPU Cards with the EASEA Platform”, In Programming multi-core and many-core computing systems, edited by Sabri Pllana, Fatos Xhafa, pp. 301 – 319, January 2017, chapter 15.
• Deepak Sharma and Pierre Collet, "Implementation Techniques for Massively Parallel Multi-objective Optimization", In Massively Parallel Evolutionary Computation on GPGPUs, edited by S. Tsutsui and P. Collet, Springer, the Natural Computing Series, 2013, Chapter 13.
• Ogier Maitre, Frédéric Krüger, Deepak Sharma, Stéphane Querry, Nicolas Lachiche, Pierre Collet, "Evolutionary Algorithm Onto GPGPU Using EASEA", In Programming Multi-core and Many-core Computing Systems, edited by Sabri Pllana and Fatos Xhafa (Eds.), John Wiley & Sons, 2011.
• Pierre Collet, Ogier Maitre, Frédéric Krüger, Deepak Sharma, "Massively Parallel Artificial Evolution for Hierarchical GPU Parallel Systems", In EVOLVE, A bridge between Probability, Set Oriented Numerics and Evolutionary Computation, Studies in Computational Intelligence, edited by E. Tantar, A. Tantar, O. Shuetze, Springer, 2011.

Conference Publication

• Man Mohan, Divyeshkumar D. Kansagara, Deepak Sharma and Ujjwal K. Saha, "Estimating the Aerodynamic Coefficients of a Savonius Rotor Blade Profile Developed Through the Simplex Search Method", in the proceedings of the ASME 2021 Gas Turbine India Conference GTINDIA2021, December 2 – 3, 2021 (pdf)
• Shashi Kant Ratnakar, Subhajit Sanfui and Deepak Sharma, "GPU – based Topology Optimization using Matrix-Free Conjugate Gradient Finite Element Solver with Customized Nodal Connectivity Storage", In N. Kumar, S. Tibor, R. Sindhwani, & P. Srivastava (Eds.), Advances in Interdisciplinary Engineering: Proceedings of FLAME 2020 (pp. 87-97), Springer, https://doi.org/10.1007/978-981-15-9956-9_9 (pdf)
• Shashi Kant Ratnakar, Subhajit Sanfui and Deepak Sharma, "SIMP-based Structural Topology Optimization using Unstructured Mesh on GPU", In N. Kumar, S. Tibor, R. Sindhwani, & P. Srivastava (Eds.), Advances in Interdisciplinary Engineering: Select Proceedings of FLAME 2020 (pp. 1-10), Springer, https://doi.org/10.1007/978-981-15-9956-9_1 (pdf)
• Ankit Agrawal, Divyeshkumar D. Kansagara, Deepak Sharma, and Ujjwal K. Saha, "Savonius Wind Turbine Blade Profile Optimization by Coupling CFD Simulations with Simplex Search Technique", ASME 2019 Gas Turbine India Conference, December 5–6, 2019 Chennai, Tamil Nadu, India. Paper No: GTINDIA2019-2442, V002T06A007; 12 pages. (pdf)
• Raktim Biswas Deepak Sharma, "A Single-Loop Reliability-based Design Optimization Method Using Iteratively Updating Hessian" EUROGEN 2019, University of Minho, Guimarães, Portugal, September 12 – 14, 2019. (pdf)
• Utpal Kiran, Vishal Agrawal, Deepak Sharma and Sachin Singh Gautam, "A GPU based acceleration of Finite Element and Isogeometric analysis" Proceedings at the 10th International Conference on Computational Methods (ICCM2019), 9–13 July 2019, Singapore, Eds: G.R. Liu, Fangsen Cui, George Xu Xiangguo, ScienTech Publisher, pp. 641 – 651. (pdf)
• Subhajit Sanfui and Deepak Sharma, "Exploiting Symmetry in Elemental Computation and Assembly Stage of GPU-Accelerated FEA", Proceedings at the 10th International Conference on Computational Methods (ICCM2019), 9–13 July 2019, Singapore, Eds: G.R. Liu, Fangsen Cui, George Xu Xiangguo, ScienTech Publisher, pp. 641 – 651. (pdf)
• Deepak Sharma, Syed Zaheer Basha and Sandula Ajay Kumar, "Diversity Over Dominance Approach for Many-Objective Optimization On Reference-Points-based Framework", In 10th International Conference Proceedings on Evolutionary Multi-Criterion Optimization, 10–13 March 2019, Michigan State University, East Lansing, USA. (pdf)(Source code)
• Deepak Sharma, Sukhomay Pal, Aayush Sahay, Puneet Kumar, Gaurav Agarwal, and Katravath Vignesh, "Local Search Heuristics based Genetic Algorithm for Capacitated Vehicle Routing Problem", in 2nd International Conference on Computational Methods in Manufacturing (ICCMM), 8 – 9 March 2019, IIT Guwahati, India.
• Riddhiman Saikia and Deepak Sharma, "Hybridizing Evolutionary Multi-Objective Algorithm Using Random Mutations and Local Searches", in 2nd International Conference on Computational Methods in Manufacturing (ICCMM), 8 – 9 March 2019, IIT Guwahati, India.
• Utpal Kiran, Subhajit Sanfui, Shashi Kant Ratnakar, Sachin Singh Gautam, and Deepak Sharma, "Comparative Analysis of GPU-based Solver Libraries for A Sparse Linear System of Equations", in 2nd International Conference on Computational Methods in Manufacturing (ICCMM), 8 – 9 March 2019, IIT Guwahati, India.
• Subhajit Sanfui and Deepak Sharma, "GPU Acceleration of Local Matrix Generation in FEA by Utilizing Sparsity Pattern", In 1st International Conference on Mechanical Engineering (INCON 2018), 4–6 January 2018, Jadavpur University, India. (pdf)
• Nada Barakat and Deepak Sharma, "Multi-Objective Optimization Framework and its Experimental Validation for Bulldozer in Soil Cutting", In Proceedings of the Indian Geotechnical Conference 2017 GeoNEst, 14-16 December 2017, IIT Guwahati, India. (pdf)
• Nada Barakat and Deepak Sharma, "Towards Optimal Soil Cutting Process Using a Multi-objective Genetic Algorithm", In Proceedings of the National Conference on Sustainable Mechanical Engineering: Today and Beyond, 24−25 March, 2017, Tezpur University, India. (pdf)
• Nada Barakat and Deepak Sharma, "Evolutionary Bi-Objective Optimization of Soil Cutting by Bull-Dozer: A Real-World Application", In IEEE International Conference on Advances in Mechanical, Industrial, Automation and Management Systems, 3-5 February 2017, MNNIT Allahabad, India. (pdf)
• Subhajit Sanfui and Deepak Sharma, "A Two-Kernel based Strategy for Performing Assembly in FEA on the Graphic Processing Unit", In IEEE International Conference on Advances in Mechanical, Industrial, Automation and Management Systems, 3-5 February 2017, MNNIT Allahabad, India. (pdf)
• Harshwardhan Ratnaparkhi, Deepak Sharma and Sachin Singh Gautam, "GPU Computing Tool for Structure Topology Optimization", In World Congress on Engineering and Applications, 16-17 December 2016, Bangkok Thailand.
• V.Satheeshkumar, R. Ganesh Narayanan, and Deepak Sharma, "Assessment of formability of adhesive bonded sheets through neural network", In the 4th International Conference on Advances in Materials and Processing, November 05-07, 2016, IIT Kharagpur, India, Abstract no: 47.
• H. Chel, D. Mylavarapu and Deepak Sharma, "A Novel Multistage Genetic Algorithm Approach for Solving Sudoku Puzzle", 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), Chennai, 2016, pp. 808-813. doi: 10.1109/ICEEOT.2016.7754798 (pdf)
• Devang Agarwal and Deepak Sharma, "Experimental Study on Bound Handling Techniques for Multi-objective Particle Swarm Optimization", Innovations in Bio-Inspired Computing and Applications, 16 - 18 December, 2015, Kochi, India, In Advances in Intelligent Systems and Computing, Vol. 424, pp. 555-564. (pdf)
• Surendra Singh, A. Narayana Reddy and Deepak Sharma, "Topology Optimization of Low Frequency Structure with Application to Vibration Energy Harvester", In 12th International Conference on Vibration Problems, 14-17 December, 2015, IIT Guwahati, Assam, India. (pdf)
• Prem Soren and Deepak Sharma, "Bi-objective Evolutionary Optimization of Milling Process Parameters", National Conference on Manufacturing: Vision for Future (MVF), October 12-13, 2013, IIT Guwahati, Assam, India.
• Deepak Sharma and Prem Soren, "Infeasibility Driven Approach for Bi-objective Evolutionary Optimization", IEEE Congress on Evolutionary Computation (CEC), June 20-23, 2013, Cancun, Mexico, pp. 868 - 875. (pdf)
• Anupam Trivedi, Deepak Sharma and Dipti Srinivasan, "Multi-objectivization of Short-Term Unit Commitment under Uncertainty using Evolutionary Algorithm", In the proceedings of IEEE Congress on Evolutionary Computation (CEC), June 10-15, 2012, Brisbane, Australia, pp. 271-278. (pdf)
• Deepak Sharma, Dipti Srinivasan and Anupam Trivedi, "Multi-Agent Approach for Profit Based Unit Commitment", In the proceedings of IEEE Congress on Evolutionary Computation (CEC), June 5-8, 2011, New Orleans, USA, pp. 2507-2513. (pdf)
• Le Thanh Xuan Yen, Deepak Sharma, Dipti Srinivasan and Pindoriya Naran Manji, "A Modified Hybrid Particle Swarm Optimization Approach for Unit Commitment", In the proceedings of IEEE Congress on Evolutionary Computation (CEC), June 5-8, 2011, New Orleans, USA, pp. 1737-1744. (pdf)
• Anupam Trivedi, N. M. Pindoriya, Dipti Srinivasan and Deepak Sharma, "Improved Multi-objective Evolutionary Algorithm for Day-Ahead Thermal Generation Scheduling", In the proceedings of IEEE Congress on Evolutionary Computation (CEC), June 5-8, 2011, New Orleans, USA, pp. 2163-2170. (pdf)
• Ogier Maitre, Deepak Sharma, Nicolas Lachiche, Pierre Collet, "DISPAR-Tournament: A Parallel Population Reduction Operator That Behaves Like a Tournament", In the proceedings of European Conference on the Applications of Evolutionary Computation (EvoApplications), 2011, Heidelberg, pp. 284-293.(pdf)
• Deepak Sharma, "On the Flexible Applied Boundary and Support Conditions of Compliant Mechanisms Using Customized Evolutionary Algorithm", In the proceedings of 8th International Conference on Simulated Evolution And Learning (SEAL), December 1-4, 2010, IIT Kanpur, India, pp. 105-114. (pdf)
• Deepak Sharma, Pierre Collet, "GPGPU-compatible Archive Based Stochastic Ranking Evolutionary Algorithm (G-ASREA) for Multi-Objective Optimization", In the proceedings of 11th International Conference on Parallel Problem Solving From Nature (PPSN), September 11-15, 2010, Krakow, Poland, pp. 111-120. (pdf)
• Deepak Sharma, Pierre Collet, "An Archived-Based Stochastic Ranking Evolutionary Algorithm (ASREA) for Multi-Objective Optimization", In the proceedings of 12th annual conference on Genetic and Evolutionary Computation Conference (GECCO), July 07-11, 2010, Portland, Oregon, USA, pp. 479-486. (pdf)
• Kalyanmoy Deb, Kaisa Miettinen, Deepak Sharma, "A Hybrid Integrated Multi-Objective Optimization Procedure for Estimating Nadir Point", In the proceeding of Evolutionary Multi-Criterion Optimization (EMO), April 07-10, 2009, Nantes, France, pp. 569-583. (pdf)
• Deepak Sharma, Kalyanmoy Deb, N. N. Kishore, "An Improved Initial Population Strategy for Compliant Mechanism Designs Using Evolutionary Optimization", In the proceedings of ASME International Design Engineering Technical Conferences (IDETC) and Computers and Information in Engineering Conference (CIE), August 03-06, 2008, NY, USA, Paper No. DETC2008D49187. (pdf)
• Deepak Sharma, Kalynmoy Deb, N. N. Kishore, "A Domain-Specific Crossover and a Helper Objective for Generating Minimum Weight Compliant Mechanisms", In the proceedings of Genetic and Evolutionary Computation Conference (GECCO), July 12-16, 2008, Atlanta, Georgia, USA, pp. 1723-1724. (pdf)
• Deepak Sharma, Kalyanmoy Deb, N. N. Kishore, "Towards Generating Diverse Topologies of Path Tracing Compliant Mechanisms Using a Local Search Based Multi-Objective Genetic Algorithm Procedure", In the proceedings of IEEE Congress on Evolutionary Computation Conference (CEC), June 1-6, 2008, Hong Kong, pp. 2004-2011 (BEST STUDENT PAPER AWARD). (pdf)
• Deepak Sharma, Abhay Kumar, Kalyanmoy Deb, Karthik Sindhya, "Hybridization of SBX Based NSGA-II and Sequential Quadratic Programming for Solving Multi-objective Optimization Problems", In the proceedings of IEEE Congress on Evolutionary Computation (CEC), September 25-28, 2007, Singapore, pp. 3003-3010 (BEST PAPER ENTRY AWARD). (pdf)
• Abhay Kumar, Deepak Sharma, Kalyanmoy Deb, "A Hybrid Multi-Objective Optimization Procedure Using PCX Based NSGA-II and Sequential Quadratic Programming", In the proceedings of IEEE Congress on Evolutionary Computation (CEC), September 25-28, 2007, Singapore, pp. 3011-3018. (pdf)
• Deepak Sharma, Kalyanmoy Deb, N. N. Kishore, "Evolving Path Generation Compliant Mechanisms (PGCM) Using Local-search based Multi-Objective Genetic Algorithm", In the proceedings of International Conference on Trends in Product Life Cycle, Modeling, Simulation and Synthesis (PLMSS), December 18-20, 2006, Bangalore, India, pp. 227-238.