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Deep Kusum
Kusum Deep Professor kusumfma[at]iitr.ac.in 09837164078
Areas of Interest
  • Numerical Optimization, Nature Inspired Optimization, Computational Intelligence, Genetic Algorithms, Particle Swarm Optimiz
  • Parallel Computing, Parallel Genetic Algorithms and Parallel Particle Swarm Optinmization
Honors and Awards
AwardInstituteYear
First in Class Higher SecondaryKendriya Vidyala School Roorkee1974
UGC National Merit Scholarship for B.Sc HonoursCentre for Advance Studies in Mathematics, Panjab University Chandigarh1975
UGC NET ScholarshipUniversity Grants Commission1984
Gold Medal in M.PhilUniversity of Roorkee1984
Khosla AwardUniversity of Roorkee1991
Post Doctoral FellowshipCommission of European Communities Brussels1993
Star PerformerIIT Roorkee2002
Career AwardUniversity Grants Commission2002
Star PerformerIIT Roorkee2003
Star PerformerIIT Roorkee2004
Star PerformerIIT Roorkee2005
Best Paper AwardRailway Bulletin of Indian Railways2005
Special facilitation in memory of late Prof. M. C. PuriOperations Research Society of India2007
ExpertDepartment of Science Technology2007
Senior MemberOperations Research Society of India2007
Educational Details
DegreeSubjectUniversityYear
B.Sc.(Hons)MathematicsPanjab University Chandigarh 1979
M.Sc.(Hons)MathematicsPanjab University Chandigarh 1983
M.Phil.Applied MathematicsUniversity of Roorkee1984
Ph.D.MathematicsUniversity of Roorkee1988
Administrative Background
FromToDesignationOrganisationLevel
20142016Member Institute Research CommitteeIIT Roorkee
20142016DRC ChairpersonIIT Roorkee, Maths Dept.
2015Till dateSection Incharge, e learning sectionIIT Roorkee
Memberships
  • IEEE, Member
  • Soft Computing Research, President
  • Advance Computing Society of India, Member
  • Forum of Interdisciplinary Mathematics, Secretary
  • Vijnana Parishad of India, Member
  • Indian Science Congress, Life Member
  • Computer Society of India, Life Member
  • Operations Research Society of India, Life Member
  • Indian Mathematical Society, Life Member
  • International Neural Network Society, Indian Chapter, Member
Teaching Engagements
TitleCourse CodeClass NameSemester
Optimization TechniquesMAN 010B.Tech 1st YearSpring
Evolutionary AlgorithmsMAN 628IDD 4th Year & 5th YearSpring
Projects and Thesis Supervised
Title of ProjectNames of Students
Nonlinear Programming Based Design of Looped Water Distribution NetworkRoy P. Pardede
An Interactive Package in Pascal for Inversion of Gravity Data in Geophysical ProspectingNeeta Sharma
A Controlled Random Search Technique for Solving Global Optimization Problems on PC in C LanguageSeema
Optimal Design of some Real Life ProblemsSunil Chandra
Optimal Design of Dwelling – Layout SystemsPankaj Goel
To Design an Optimization Technique using Neural NetworksArjun Singh
Computational Parallel Global Optimal TechniquesSarika Gupta
Noise Reduction using CUDANitin Gupta
Implementation of Parallel Optimization Techniques using Nvidia CUDA for the eN10 parallelizationBhanu Damir
Nature Inspired Optimization Techniques Using Parallel Computing with CUDAAbhishekKumar Adarsha Kumar Rahul Sachan
Adiquity user interface developmentRahul Sachan
Improving Installer Performance & ExperienceAdarsha Kumar
Enhancement to Tools and Tests for CUDA Performance Analysis Abhishek Kumar
Integrating Phonegap into Jiwan Books mobile applicationsHeena Rana
Human Resource Management System for EgnaroPuneet Kumar
Employee Portal with Layer Architectures and Security maintenance Sanjoy Kumar Sardar
m-seeker: using voice recognition technologyAmit Kumar Saurabh Kumar Niraj Kumar Choudhary
Web based Book Catalogue SystemAyush Jaiswal Sandeep Kumar Vishwanath Pratap Singh
Our Health An iOS ApplicationSandeep Kumar
Integrating Line of Business Application with Microsoft Office APP'sAyush Jaisal
Design of a New Approach of Package Transportation System Sunil Baitha
Server side data download utility for clients Vishwanath Pratap Singh
Portfolio Optimization using Nature Inspired AlgorithmsSaurabh Arora
Solution of Transportation Algorithm using Genetic AlgorithmsAshutosh Uopadhayay
PHDs Supervised
TopicScholar NameStatus of PHDRegistration Year
Genetic Algorithms for Global Optimization and their ApplicationsMillie PantA
New Real Coded Genetic Algorithms for Global OptimizationManoj ThakurA
Hybrid Genetic Algorithms and their ApplicationsDiptiA
Design and Applications of Hybrid Genetic Algorithms for Function OptimizationKedar Nath DasA
Multi Criteria Decision Making Techniques for Engineering and Management ProblemsKrishna Pratap SinghA
Particle Swarm Intelligence and their ApplicationsJagdish Chand BansalA
Optimization in Bio related optimization problemsShashi BarakA
Design and Applications of Genetic Algorithms for Traveling Salesman ProblemsHadushA
New variants of Particle Swarm Optimization and their Applications in Process IndustryPinkey ChauhanA
Improvised Particle Swarm Optimization Algorithms and their Applications to Determine Hypocentral PaAnupam YadavA
Particle Swarm Optimization: Improvements, Applications, and ParallelizationMadhuriA
An Improvised ABC Algorithm and its GPU-aided Application for Avalanche Forecasting Amreek SinghA2012
New PSO Based Membrane Algorithms for Chess, Sudoku and other ApplicationsGarima SinghA2012
Novel Gravitational Search Algorithms and their ApplicationsAmarjeet SinghA2012
Design and Applications of Spider Monkey OptimizationKavita GuptaA2013
Design and Applications of Biogeography Based OptimizationVanita GargA2014
Design and Applications of New Harmony Search AlgorithmsAssif AssadA2014
Grey Wolf OptimizerShubham GuptaO2015
Ant Lion OptimizerShail Kumar DinkarO2015
Nature Inspired OptimizationPrince SolankiO2017
Nature Inspired OptimizationAshish Kumar DixitO2017
Visits to outside institutions
Institute VisitedPurpose of VisitDate
Liverpool Hope UniversityResearch CollaborationJune 2014
Courses or Conferences Organised
Conference NameSponsored ByDate
Recent Advances in Optimization Techniques and their ApplicationsContinuing Education Department IIT Roorkee20-05-2009
First International Conference on Soft Computing for Problem SolvingInstitute of Engineers, Roorkee Local ChapterDec 2011
7th International Conference on Bio-Inspired Theories and ApplicationsABV-IIITM GwaliorDec 2012
Second International Conference for Soft Computing for Problem SolvingJK Laxmipat University, JaipurDec 2012
Third International Conference on Soft Computing for Problem SolvingIIT RoorkeeDec 2013
Books Authored

TEXT BOOK AUTHORED

“Optimization Techniques”, jointly with Prof. C. Mohan

Indian Ed., New Age, New Delhi, 2009 and

Foreign Ed., New Age Science, UK, 2009.

 

SPECIAL ISSUE OF JOURNAL EDITED

Edited Special Issue “Bio-Inspired Techniques for Complex Systems, Int. J. Advanced Intelligence Paradigms, Vol. 5, Nos. 1 & 2, 2013.

Edited Special Issue “Optimization” of Opsearch Journal, Springer, Vol. I, March 2009.

Edited Special Issue “Optimization” of Opsearch Journal, Springer, Vol. 2, June 2009.

 

 

INTERNATIONAL CONFERENCE PROCEEDINGS EDIITED

 

Series: Advances in Intelligent Systems and Computing.

Proceedings of the Seventh International Conference on Soft Computing for Problem Solving, SocProS 2017.

Editors: Bansal,J.C.,Das,K.N., Nagar, A.K., Deep, K., Ojha, A.K. (Eds.)

 

Series: Advances in Intelligent Systems and Computing.

Proceedings of the Sixth International Conference on Soft Computing for Problem Solving, SocProS 2016, Vol.1.

Editors: Deep, K., Bansal,J.C.,Das,K.N., Lal, A.K., Garg, H., Nagar, A.K., Pant, M. (Eds.)

http://www.springer.com/in/book/9789811033216

 

Series: Advances in Intelligent Systems and Computing.

Proceedings of the Sixth International Conference on Soft Computing for Problem Solving, SocProS 2016, Vol.2.

Editors: Deep, K., Bansal,J.C.,Das,K.N., Lal, A.K., Garg, H., Nagar, A.K., Pant, M. (Eds.)

http://www.springer.com/in/book/9789811033247

 

Series: Advances in Intelligent Systems and Computing, Vol. 416, 2016

Proceedings of the Fifth International Conference on Soft Computing for Problem Solving SocProS 2015, Volume 1.

Editors: Pant, M., Deep, K., Bansal, J.C., Nagar, A., Das, K.N. (Eds.)

http://www.springer.com/in/book/9789811004476

 

Series: Advances in Intelligent Systems and Computing, Vol. 417, 2016

Proceedings of the Fifth International Conference on Soft Computing for Problem Solving SocProS 2015, Volume 2.

Editors: Pant, M., Deep, K., Bansal, J.C., Nagar, A., Das, K.N. (Eds.)

http://www.springer.com/in/book/9789811004506

 

Series: Advances in Intelligent Systems and Computing, Vol. 335, 2014

Proceedings of the Fourth International Conference on Soft Computing for Problem Solving SocProS 2014, Volume 1.

Editors: Das, K.N., Deep, K., Pant, M., Bansal, J.C., Nagar, A. (Eds.)

http://www.springer.com/in/book/9788132222163

 

Series: Advances in Intelligent Systems and Computing, Vol. 336, 2014

Proceedings of the Fourth International Conference on Soft Computing for Problem Solving SocProS 2014, Volume 2.

Editors: Das, K.N., Deep, K., Pant, M., Bansal, J.C., Nagar, A. (Eds.)

http://www.springer.com/in/book/9788132222194

 

Series: Advances in Intelligent Systems and Computing, Vol. 258, 2014

Proceedings of the Third International Conference on Soft Computing for Problem Solving SocProS 2013, Volume 1.

Pant, M., Deep, K., Nagar, A., Bansal, J.C. (Eds.)

http://www.springer.com/gp/book/9788132217701

 

Series: Advances in Intelligent Systems and Computing, Vol. 259, 2014

Proceedings of the Third International Conference on Soft Computing for Problem Solving SocProS 2013, Volume 2.

Pant, M., Deep, K., Nagar, A., Bansal, J.C. (Eds.)

http://www.springer.com/gp/book/9788132217671

 

Series: Advances in Intelligent Systems and Computing, Vol. 236, 2013

Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012

Babu, B.V.; Nagar, A.; Deep, K.; Pant, M.; Bansal, J.C.; Ray, K.; Gupta, U. (Eds.)

ISBN 978-81-322-1601-8, 2013

http://www.springer.com/gp/book/9788132216018

 

Series: Advances in Intelligent Systems and Computing, Vol. 201,

Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012), Springer, J. C. Bansal, P. K. Singh, Kusum Deep, Millie Pant, Atulya K. Nagar (Eds.)

 

Series: Advances in Intelligent Systems and Computing, Vol. 202,

Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012), Springer, J. C. Bansal, P. K. Singh, Kusum Deep, Millie Pant, Atulya K. Nagar (Eds.)

 

Series: Advances in Intelligent and Soft Computing, Vol. 130, 2012

Kusum Deep, Atulya Nagar, Millie Pant, Jagdish Chand Bansal (Eds.), ISBN 978-81-322-0486-2 , Springer. http://www.springer.com/gp/book/9788132204862

 

Series: Advances in Intelligent and Soft Computing, Vol. 131, 2012

Kusum Deep, Atulya Nagar, Millie Pant, Jagdish Chand Bansal (Eds.), ISBN 978-81-322-0490-9, Springer. http://www.springer.com/gp/book/9788132204909

Refereed Journal Papers

 PAPERS PUBLISHED IN REFERRED JOURNALS        ONE HUNDRED AND THREE

 

2018

  1. Assif Assad and KUSUM DEEP: "A Hybrid Harmony Search and Simulated Annealing Algorithm for Continuous Optimization", Information Sciences, in press, https://doi.org/10.1016/j.ins.2018.03.042 (Impact Factor = 4.832)
  2. Shubham Gupta and KUSUM DEEP: "A novel Random Walk Grey Wolf Optimizer", Swarm and Evolutionary Computation, Elsevier, 2018, https://doi.org/10.1016/j.swevo.2018.01.001. (Impact Factor = 3.893)
  3. Shubham Gupta and KUSUM DEEP: "Random Walk Grey Wolf Optimizer for Constrained Engineering Optimization Problems", Computational Intelligence, Wiley,2018, https://doi.org/10.1111/coin.12160  (Impact Factor = 0.964).

2017

  1. Shail Dinkar and KUSUM DEEP: "Opposition Based Laplacian Ant Lion Optimizer", Journal of Computational Science, Elsevier, Vol. 23, pp.71-90, 2017. (Impact Factor=1.748)
  2. Assif Assad and KUSUM DEEP: "Harmony search based memetic algorithms for solving sudoku", International Journal of System Assurance Engineering and Management, Springer, pp.1-14, 2017.
  3. Assif Assad and KUSUM DEEP: "A Heuristic Based Harmony Search Algorithm for Maximum Clique Problem", accepted, Opsearch, Springer, 2017.
  4. Amarjeet Singh and KUSUM DEEP: "Improved Variants of Gravitational Search Algorithm Based on "best-so-far" Updating Mechanism", accepted, National Academy Science Letters, Springer, 2017.
  5. Amarjeet Singh and KUSUM DEEP: "Reconstruction of 3D Curves and Surfaces using New Variants of Gravitational Search Algorithm", accepted, Journal of Information and Optimization Sciences, 2017.
  6. Amreek Singh, KUSUM DEEP and Pallavi Grover: "A Novel Approach to Accelerate Calibration Process of K-Nearest Neighbours Classifier Using GPU", Journal of Parallel and Distributed Computing, Elsevier, Vol. 10, pp.114-129, 2017. (Impact Factor = 1.32).
  7. Amarjeet Singh and KUSUM DEEP: “Hybridizing Gravitational Search Algorithms with Real Coded Genetic Algorithms for Structural Engineering Design Problem”, Opsearch, Springer, 2017.
  8. Soniya Lalwani, Rajesh Kumar and KUSUM DEEP: "Multi-objective two-level swarm intelligence approach for multiple RNA sequence-structure alignment", Swarm and Evolutionary Computation, Elsevier, Vol. 34, pp. 130-144, 2017, (Impact Factor = 3.893)
  9. Garima Singh and KUSUM DEEP: "Effectiveness of new Multiple-PSO based Membrane Optimization Algorithms on CEC 2014 Benchmarks and Iris Classification",Natural Computing, Springer Vol. 16, No. 3, pp. 473-496, 2017. (Impact Factor = 0.778)
  10. Amarjeet Singh and KUSUM DEEP: "Novel Hybridized variants of Gravitational Search Algorithm for Constraint Optimization", International Journal of Swarm Intelligence, Vol. 3, Issue 1, pp. 1-22, Jan 2017.
  11. Kavita Gupta, KUSUM DEEP and J. C. Bansal: “Spider monkey optimization algorithm for constrained optimization problems”, Soft Computing, Springer,Vol.21, Issue 23, pp. 6933–6962, Dec.2017, (Impact Factor=2.472)

2016

  1. Assif Assad and KUSUM DEEP: "A Two Phase Harmony Search Algorithm for Continuous Optimization. accepted, Computational Intelligence. Wiley. 2016.
  2. Vanita Garg and KUSUM DEEP: “Constrained Laplacian Biogeography-Based Optimization Algorithm”, accepted, International Journal of System Assurance Engineering and Management, Springer, DOI :10.1007/s13198-016-0539-7.
  3. Anupam Yadav, KUSUM DEEP, Joong Hoon Kim and Atulya K Nagar: "Gravitational Swarm Optimizer for Global Optimization", Swarm and Evolutionary Computation, Elsevier, Vol. 31, pp.64-89, 2016. (Impact Factor 3.893).
  4. Vanita Garg and KUSUM DEEP: Efficient mutation strategies embedded in Laplacian Biogeography-Based Optimization. International Journal of Applied Evolutionary Computation, 7(2), Article 2, pp. 12-44, 2016.
  5. Garima Singh and KUSUM DEEP: "A New Membrane Algorithm using the rules of Particle Swarm Optimization incorporated within the framework of Cell-like P-systems to solve Sudoku", Applied Soft Computing, 45, 27-39, 2016, Elsevier, (Impact Factor 3.541)
  6. Vanita Garg and KUSUM DEEP: "Performance of Laplacian Biogeography-Based Optimization Algorithm on CEC 2014 continuous optimization benchmarks and Camera Calibration Problem", Swarm and Evolutionary Computation, Vol. 27, pp. 132-144, 2016. (Impact Factor 3.893)
  7. Kedar Nath Das, Raghav Prasad and KUSUM DEEP: "Design and Applications of a new DE-PSO-DE algorithm for Unconstrained Optimization Problems", Accepted, International Journal of Swarm Intelligence, Inderscience, 2016.
  8. Garima Singh and KUSUM DEEP: "Use of Membrane Algorithms for Solving Constrained Engineering Design Problems", World Journal of Modelling and Simulation, UK, Vol. 12, No.3, pp. 189-203, August 2016.
  9. Garima Singh and KUSUM DEEP: "Cell-like P-systems coupled with rules of Particle Swarm Optimization to Solve Blasius Differential Equation". International Journal of Swarm Intelligence, Inderscience, Vol. 2, Issue 1,pp.87-96, Jan 2016.

2015

  1. Hira Zaheer, Millie Pant, Sushil Kumar, Oleg Monakhov, Emilia Monakhova, KUSUM DEEP: "A new guiding force strategy for differential evolution", International Journal of System Assurance Engineering and Management, pp.1-14, 2015.
  2. Amarjeet Singh and KUSUM DEEP, “Real Coded Genetic Algorithm Operators Embedded in Gravitational Search Algorithm for Continuous Optimization”, International Journal of Intelligent Systems and Applications (IJISA) 7(12), 1-22, 2015. DOI: 10.5815/ijisa.2015.12.01
  3. Kavita Gupta, KUSUM DEEP and J. C. Bansal: "Improving the local search ability of Spider Monkey Optimization algorithm using Quadratic Approximation for unconstrained optimization", In Press, Computational Intelligence, 2015, DOI: 10.1111/coin.12081.
  4. Amarjeet Singh and KUSUM DEEP: “New Variants of Glowworm Swarm Optimization Based on Step Size”, International Journal of System Assurance Engineering and Management. 6(3), 286-296, 2015.
  5. Amreek Singh, Bhanu Damir, KUSUM DEEP and Ashwagosha Ganju: Calibration  of Nearest Neighbours Model for Avalanche Forecasting", Cold Regions Science and Technology, Vol. 109, pp. 33-42, January 2015, Impact Factor 1.693.

2014

  1. Garima Singh, KUSUM DEEP and Atulya K. Nagar: "Cell-like P-Systems Based on Rules of Particle Swarm Optimization", Applied Mathematics and Computations, Vol. 246, pp. 546-560, Nov.1,2014. Impact Factor 1.738
  2. KUSUM DEEP, Hadush Mebrahtu and Atulya Kumar Nagar: "Novel GA for Metropolitan Stations of Indian Railways when modeled as a TSP", International Journal of System Assurance Engineering and Management, Springer, 2014. 10.1007/s13198-014-0328-0.
  3. A. Yadav and KUSUM DEEP: "A shrinking hypersphere PSO for engineering optimisation problems", Journal of Experimental & Theoretical Artificial Intelligence, Taylor & Francis, online July 2014, Vol. 28, pp.1-33, 2016, Impact Factor 0.527.
  4. A. Yadav and KUSUM DEEP: “An Efficient Co-Swarm Particle Swarm Optimization for Non-linear Constrained Optimization”, Journal of Computational Sciences, Elsevier, Vol. 5, Issue 2, pp. 258–268, March 2014. Impact Factor 1.567.
  5. J. C. Bansal, Harish Sharma, K. V. Arya, KUSUM DEEP and Millie Pant: "Self Adaptive Artificial Bee Colony", Optimization: A Journal of Mathematical Programming and Operations Research, Taylor and Francis, Vol. 63, pp. 1513-1532, 2014, Impact factor 0.707.
  6. Madhuri and KUSUM DEEP, “Optimization of Extraction Process of Bioactive Compounds from Gardenia, using PSO”, International Journal of Artificial Intelligence and Soft Computing, Inderscience,  Vol. 4, No. 1, pp. 29-40, 2014.
  7. Madhuri, KUSUM DEEP and J. C. Bansal (2013), “A Nature Inspired Adaptive Inertia Weight in PSO”, International Journal of Artificial Intelligence and Soft Computing, Inderscience, Vol. 4, No.2/3  pp. 228 - 248, 2014.
  8. Krishna Pratap Singh, M. L. Kansal, KUSUM DEEP: “GA-NR for Optimal Design of Water Distribution Networks”, International Journal of Operational Research, Inderscience, Vol. 20, No. 3, pp. 241-261, 2014.
  9. Krishna  Singh, KUSUM DEEP and M. L. Kansal: “Fuzzy Based Interactive Method for Solution of Bi and Multi-level Programming Problems”, International Journal of Information and Decision Sciences, Inderscience, Vol. 6, No. 2, pp. 166-181, 2014.

2013

  1. KUSUM DEEP, Pinkey Chauhan and Millie Pant: "Parameter Optimization of Multi-pass Turning using Chaotic PSO", International Journal of Machine Learning and Cybernetics, Springer, pp. 1-19, 2013, DOI: 10.1007/s13042-013-0221-1
  2. KUSUM DEEP, Madhuri, Manoj Thakur and Balasubramanian Raman, “Stereo

Camera Calibration Using Particle Swarm Optimization” Applied Artificial Intelligence, Taylor & Francis, Vol. 27, Issue 7, pp. 618-634, 2013. Impact Factor 0.563

  1. Anupam Yadav and KUSUM DEEP ”Shrinking Hyperspheres Trajectories in Particle Swarm Optimization”, Applied Mathematics and Computations, Elsevier, Vol. 220, pp. 246-267, 2013, Impact Factor 1.738
  2. A. Yadav and KUSUM DEEP: “Constrained Optimization using Gravitational Search Algorithm”, National Academy Science Letters, Springer, Vol. 36, Issue 5, pp 527-534, October 2013, Impact Factor 0.24.
  3. Pinkey Chauhan, KUSUM DEEP and Millie Pant: “Novel Inertia Weight strategies for Particle Swarm Optimization”, Memetic Computing, Vol. 5, Issue 3, pp.229-251, 2013, Impact Factor 1.0.
  4. KUSUM DEEP and Kedar Nath Das: “A novel hybrid genetic algorithm for constrained optimization”, International Journal of System Assurance Engineering and Management, Sprimger, Vol. 4, Issue 1, pp. 86-93, 2013.

2012

  1. KUSUM DEEP and Dipti: "Proposed Memetic Algorithms for Global Optimization", International Journal of Mathematical Modeling, Simulation and Applications, Vol. 5, No. 2, pp. 129-139, 2012.
  2. Yadav, A, KUSUM DEEP and Kumar, S Metaheuristic Technique for Finding Earthquake Locations in NW Himalayan Region’, Advances in Geosciences, Vol 31, pp. 1-10, 2012.
  3. Harish Sharma, J. C. Bansal and KUSUM DEEP: Dynamic Swarm Artificial Bee Colony Algorithm”, International Journal of Applied Evolutionary Computations, Vol. 3, No. 4, pp. 19-33, 2012.
  4. KUSUM DEEP, Pinkey Chauhan, Millie Pant,  "New Hybrid Discrete PSO for Solving Non-Convex Trim Loss Problem" International Journal of Applied Evolutionary Computation ,  Vol. 3, Issue 2, pp. 19-41,2012.
  5. Jagdish Chand Bansal and KUSUM DEEP: “A Modified Binary Particle Swarm Optimization for Knapsack Problems”, Applied Mathematics and Computation, Vol. 218, Issue 22, July 15, 2012, Pages 11042-11061, Impact Factor 1.738
  6. KUSUM DEEP and Hadush Mebrahtu: “Variant of partially mapped crossover for the Travelling Salesman problem”, International Journal of Combinatorial Optimization Problems and Informatics, Vol. 3, No.1, pp. 47–69,Jan-April        2012.
  7. KUSUM DEEP, Shashi Barak, V. K. Katiyar, Atulya Kumar Nagar: “Minimization of Molecular Potential Energy Function Using newly developed Real Coded Genetic Algorithms”, International Journal of Optimization and Control Theories and Applications (IJOCTA), Vol. 2, No. 1, pp. 51-58, 2012.
  8. Anupam Yadav, KUSUM DEEP and Sushil Kumar: “An Harmonic Potential Well Based Particle Swarm optimization”, Journal of Information and Operations Management, Vol. 3, Issue 1, pp-70-72, 2012.
  9. KUSUM DEEP, Anupam Yadav and Sushil Kumar: “Improving Local and Regional Earthquake Locations using an Advanced Inversion Technique–Particle Swarm Optimization”, World Journal of Modelling and Simulation, Vol.8, No.2, pp.135-141, 2012.

2011

  1. KUSUM DEEP, V.K. Katiyar and Shashi: ‘Minimizing Lennard-Jones Potential Using a real coded Genetic Algorithm and Particle Swarm Optimization’, World Journal of Modelling and Simulation, UK, Vol. 7, No. 4, pp. 312-320, 2011.
  2. KUSUM DEEP and Hadush Mebrahtu: “Combined Mutation Operators of
    Genetic Algorithm for the Travelling Salesman Problem”, International Journal of Combinatorial Optimization Problems and Informatics, Vol. 2, No. 3, pp. 2- 24, 2011.
  3. KUSUM DEEP, K. P. Singh and M. L. Kansal: “Genetic Algorithm based Fuzzy Weighted Average Application in Multi-Criteria Decision Making Problems”, Opsearch, Springer, Vol. 48, No.2, pp. 96-108, 2011. 
  4. Pinkey Chauhan, KUSUM DEEP and Millie Pant: "Optimizing CNC Turning Process Using Real Coded Genetic Algorithm and Differential Evolution" Global Journal of Technology and Optimization, Vol. 2, No.2, pp. 157-165, June 2011.
  5. KUSUM DEEP and Jagdish Chand Bansal: “Particle Swarm Optimization for Model Order Reduction of Single Input Single Output Systems”, Accepted, Journal of Franklin Institute, Elsevier, Manuscript ID: FL-D-09-00145.
  6. KUSUM DEEP, Krishna Pratap Singh, M. L. Kansal and C. Mohan: "An Interactive Method Using Genetic Algorithm for Multi-Objective Optimization Problems Modeled in Fuzzy Environment", Expert Systems with Applications, Volume 38, Issue 3, March 2011, Pages 1659-1667, (Impact Factor 2.254).
  7. KUSUM DEEP, Pinkey Chauhan, Millie Pant: “Optimizing Machining Parameters using a Novel Real Coded GA”, International Journal of Applied Mathematics and Mechanics, Vol.7,Issue 3, pp. 53-69, 2011. 
  8. KUSUM DEEP, Anupam Yadav and Sushil Kumar: “Determining Earthquake Locations in NW Himalayan Region: An Application of Particle Swarm Optimization”, International Journal of Computational Science and Mathematics, Vol. 3, No. 2, pp. 173-181, 2011.
  9. KUSUM DEEP and Hadush Mebrahtu: “New Variations of Order Crossover for Travelling Salesman Problem”, International Journal of Combinatorial Optimization Problems and Informatics, Vol. 2, No. 1, Jan-April, pp. 2-13, 2011.

2010

  1. KUSUM DEEP and Madhuri Arya: “Minimization of Lennard-Jones Potential Using Parallel Particle Swarm Optimization Algorithm”, Contemporary Computing, Communications in Computer and Information Science, Vol. 94, No.3, pp. 131-140, 2010.
  2. KUSUM DEEP, Madhuri Arya and Shashi Barak: “A New Multi-Swarm Particle Swarm Optimization and Its Application to Lennard-Jones Problem”, INFOCOMP, Journal of Computer Science, Vol. 9, No. 3, September 2010, pp. 52 – 60.
  3. Jagdish Chand Bansal and KUSUM DEEP: “Quadratic Approximation PSO for Economic Dispatch Problems with Valve-Point Effects”, Swarm, Evolutionary, and Memetic Computing, Lecture Notes in Computer Science, 2010, Volume 6466 /2010,pages 460-467.
  4. O.P. Dubey, KUSUM DEEP and M. K. Singh: “Application of Genetic Algorithm to Quadratic Preferenced Goal Programming”, International Journal of Optimization: Theory, Methods and Applications, Vol. 2, No. 4, pp. 283-301, 2010.
  5. Radha Thangaraj, Millie Pant, KUSUM DEEP: “Optimal coordination of over-current relays using modified differential evolution algorithms”, Engineering Applications of Artificial Intelligence, Vol. 23, pp. 820–829, 2010, (Impact Factor 1.947).
  6. Jagdish Chand Bansal, Shashi, KUSUM DEEP, and V. K. Katiyar: “Minimization Of Molecular Potential Energy Function Using Particle Swarm Optimization”, International Journal of Applied Mathematics and Mechanics, Vol. 6, pp.1-9, 2010.
  7. Shashi, KUSUM DEEP, and V. K. Katiyar: “Minimising Lennard-Jones Potential Using Genetic Algorithm”, GAMS Journal of Mathematics and Mathematical Biosciences (GAMSJMMB) Vol.No. 1 & 2, pp. December 2009,
  8. KUSUM DEEP and Kedar Nath Das: “Performance Improvement of Real Coded Genetic Algorithm with Quadratic Approximation based Hybridization”, International Journal of Intelligent Defence Support Systems  (IJIDSS), Inderscience, Vol. 2, N. 4, pp. 319 – 334, 2009.
  9. KUSUM DEEP and Dipti: “Reliability Optimization of Complex Systems through C-SOMGA”, Journal of Information and Computing Science, Vol. 4  No. 3, pp.161-240, August 2009.
  10. KUSUM DEEP and J. C. Bansal: “Particle Swarm Optimization for Optimal Design of Water Distribution of Networks”, accepted, Opsearch, Springer, 2009.
  11. KUSUM DEEP, K. P. Singh, M. L. Kansal and C. Mohan: “A Real Coded Genetic Algorithm for Integer and Mixed Integer Non-linear Optimization Problems”, Applied Mathematics and Computation, Elsevier, Volume 212, Issue 2, pp. 505-518, 2009. Impact Factor 1.738. Most downloadable paper of the Journal
  12. KUSUM DEEP and J. C. Bansal: “Mean Particle Swarm Optimization for Function Optimization”, International Journal of Computational Intelligence Studies (IJCIStudies), Inderscience Publications, Vol.1, No. 1, pp.72-92, 2009.
  13. Millie Pant, Radha Thangaraj, Ajith Abraham and KUSUM DEEP, “Particle Swarm Optimization Using Sobol Mutation”, International Journal of Simulation Systems, Science and Technology, UK, Volume 10, No. 3, pp. 89 – 98, May 2009.
  14. KUSUM DEEP and J. C. Bansal “Hybridization of Particle Swarm Optimization with Quadratic Approximation”, Opsearch, Springer, Vol. 46, No. 1, pp. 3-24, 2009.
  15. KUSUM DEEP, K. P. Singh, M. L. Kansal and C. Mohan: “A Fuzzy Interactive Approach to Portfolio Management”, Opsearch, Springer, Vol. 46, No. 1, pp. 69-88, 2009.
  16. KUSUM DEEP, K. P. Singh, M. L. Kansal and C. Mohan: “Management of multi Purpose multi reservoir using fuzzy interactive method”, Water Resources Management, Springer,  Vol. 23, Issue 14, page 2987, 2009 Impact Factor 2.463.
  17. KUSUM DEEP and Manoj Thakur: “A Real Coded Multi Parent Genetic Algorithm for Function Optimization”, Journal of Hybrid Computing Research, Vol. 1, No. 2, pp. 67 – 83, July-Dec. 2008.
  18. KUSUM DEEP and J. C. Bansal, “A New Chaotic Particle Swarm Optimization Algorithm,” International Journal of Mathematical Modeling, Simulation and Applications, Vol. 1, No. 3, 2008 pp. 249-263.
  19. KUSUM DEEP and Kedar Nath Das:, “Quadratic approximation based Hybrid Genetic Algorithm for Function Optimization”, Applied Mathematics and Computations, Elsevier, Vol. 203, pp. 86 – 98, 2008, Impact Factor 1.738
  20. KUSUM DEEP and Kedar Nath Das, “Optimization of Infiltration Parameters in Hydrology”, World Journal of Modelling and Simulation, Vol. 4, No. 2, pp. 120-130, 2008.  
  21. KUSUM DEEP and Dipti: “A Self Organizing Migrating Genetic Algorithm for Constrained Optimization”, Applied Mathematics and Computations,  Elsevier, Vol. 198, pp. 237 – 250, 2008, Impact Factor 1.738
  22. KUSUM DEEP, M. L. Kansal and K. P. Singh: “Ranking of alternatives in fuzzy environment using integral value”, Journal of  Mathematics, Statistics and Allied Fields, Vol. 1, Issue 2, 2007, ISSN 1556-6757, USA. 
  23. KUSUM DEEP and Manoj Thakur: “A New Mutation Operator for Real Coded Genetic Algorithms”, Applied Mathematics and Computations, Vol. 193, Issue 1, pp. 211 – 230, October 1, 2007, Impact Factor 1.738
  24. KUSUM DEEP and Manoj Thakur: “A New Crossover Operator for Real Coded Genetic Algorithms”, Applied Mathematics and Computations, Vol. 188, Issue 1, pp. 895 – 911, May 1, 2007, Impact Factor 1.738
  25. K. Ramji, V. K. Goel, KUSUM DEEP & Manoj Thakur: “Optimum Design of Suspension System of Three - Wheeled Motor Vehicles”, World Journal of Modeling and Simulation, UK, Vol. 3, No. 1, pp. 36 – 44, 2007. 
  26. KUSUM DEEP and Kedar Nath Das: “Choice of Selection and Crossover on some Benchmark Functions”, International Journal of Computers, Mathematics and Applied Sciences, Vol. 1, No.1, pp.99-117, March 2007. 
  27. Dinesh Birla, R. P. Maheshwari, H. O. Gupta, KUSUM DEEP,  Manoj Thakur: “Application of Random Search Technique in Directional Overcurrent Relay Co-ordination”, International Journal of Emerging Electric Power Systems, Volume 7, Issue 1, Article 1, September 2006.
  28. KUSUM DEEP, D. Birla,  R. P.Maheshwari, H. O. Gupta, & Manoj Thakur: “A Population based Heuristic Algorithm for Optimal Relay Operating Times”, World Journal of Modeling and Simulation, UK,Vol.2,No. 3, pp. 167 – 176, August 2006.
  29. KUSUM DEEP: “A Heuristic Algorithm for Optimal Design of Water Distribution Networks”, International Journal of Management and Systems, Vol. 22, No. 2, 165-174, May – August, 2006.
  30. V. K. Goel, Manoj Thakur, KUSUM DEEP and B. K. Awasthi: “Mathematical Model to represent the Track Geometry Variations using PSD”, Railway Bulletin of Indian Railways, Vol. LXI, No. 312-313, pp.1 – 9, February – May, 2005, BEST TECHNICAL PAPER FOR 2005 AWARDED BY INDIAN RAILWAYS.
  31. KUSUM DEEP and Millie Pant: “Maximization of Expected Target Damage Value”, Defence Science Journal, Vol. 55, No. 2, pp. 133 – 139, April 2005, Impact Facter 0.5.
  32. KUSUM DEEP and Millie Pant: “Genetic Random Search Technique for solving Practical Geometric Programming Problems”, International Journal of Management Systems,Vol. 20,No.3, pp. 235–244,September – December, 2004.
  33. KUSUM DEEP and Millie Pant: “Solution of Fractional Programming Problems using Genetic Random Search Technique”, International Journal of Management and Systems, Vol. 19, No. 2, pp. 101-116, May – August, 2003.
  34. KUSUM DEEP and Millie Pant: “A New Algorithm for Global Optimization”, International Journal of Applied Sciences and Computations, Illinois, U.S.A., Vol. 9, #1, pp. 55-63, 2002.
  35. KUSUM DEEP and D. J. Evans: “The Random Search Global Optimization Method for Parallel Computers”, Parallel Algorithms and Applications, Vol. 5, pp.269-282, 1995.
  36. B. Sridevi and KUSUM DEEP: “Modeling of Slope Failures using Global Optimization Techniques”, Journal of Engineering Optimization, Taylor & Francis, Vol. 23, No.4, pp.255-266, 1995, Impact Factor 1.23
  37. C.Mohan and KUSUM SHANKER (now DEEP): “A Random Search Technique for Global Optimization Based on Quadratic Approximation”, Asia Pacific Journal of Operations Research, Vol.11, pp.93-101, 1994, Impact Factor 0.22
  38. KUSUM SHANKER (now DEEP), C.Mohan and K.N.Khattri: “Inversion of Seismological Data using Random Search Global Optimization Technique”, Tectonophysics, Vol.198,pp.77-83, 1991, (Impact Factor 2.866)
  39. C.Mohan and KUSUM SHANKER (now DEEP): “Computational Algorithms Based on Random Search Technique for solving Global Optimization Problems”, International Journal of Computer Mathematics, Vol.33, pp.115-126, 1990, Impact Factor 0.48) KHOSLA AWARD 1991.
  40. KUSUM SHANKER (now DEEP), C.Mohan and K.N.Khattri: “Inversion of Gravity Data by Random Search Technique”, Journal of Association of Exploration Geophysics, Vol. X, No.4, pp.153-170, 1989.
  41. C.Mohan and KUSUM SHANKER (now DEEP): “Reliability Optimization of Complex Systems using Random Search Technique”, Microelectronics and Reliability, Vol. 28, No.4, pp.513-518, 1988, Impact Factor 1.214
  42. C.Mohan and KUSUM SHANKER (now DEEP): “A Numerical Study of some Modified versions of the Controlled Random Search Method for Global Optimization”, International Journal of Computer Mathematics, Vol.24, No.1, 1988, Impact Factor 0.721