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2020 – today
- 2024
- [j86]Yogesh Kumar, Kusum Deep, Atulya K. Nagar:
Installation of Smog-Free Towers Using Novel Real Coded Genetic Algorithm. IEEE Access 12: 15056-15074 (2024) - [j85]Preeti, Kusum Deep:
Density Peak Clustering Using Grey Wolf Optimization Approach. J. Classif. 41(2): 338-370 (2024) - [j84]Kanchan Rajwar, Kusum Deep:
Uncovering structural bias in population-based optimization algorithms: A theoretical and simulation-based analysis of the Generalized Signature Test. Expert Syst. Appl. 240: 122332 (2024) - [j83]Yogesh Kumar, Kusum Deep:
Positioning of new mobile tower using Circle Packing Problem. Evol. Intell. 17(5): 3241-3268 (2024) - [j82]Manish Kumar, Karuna Panwar, Kusum Deep:
Discrete Marine Predators Algorithm for Symmetric Travelling Salesman Problem. Evol. Intell. 17(5): 3833-3848 (2024) - [j81]Mousumi Banerjee, Vanita Garg, Kusum Deep, Muhammed Basheer Jasser, Salah Kamel, Ali Wagdy Mohamed:
Enhancing Sine-Cosine mutation strategy with Lorentz distribution for solving engineering design problems. Int. J. Syst. Assur. Eng. Manag. 15(4): 1536-1567 (2024) - [c65]Yogesh Kumar, Kusum Deep:
Performance of Beta Mutation on CEC 2017 and CEC 2022 Benchmarks. CEC 2024: 1-8 - [c64]Kanchan Rajwar, Kusum Deep:
Q-Learning-Driven Framework for High-Dimensional Optimization Problems. CEC 2024: 1-8 - [c63]Kanchan Rajwar, Yogesh Kumar, Kusum Deep:
Investigating Structural Bias in Real-Coded Genetic Algorithms. GECCO Companion 2024: 447-450 - [i2]Pulkit Mundra, Veni Goyal, Kusum Deep:
Circle Packing Problem Using Nature-Inspired Optimization Techniques. CoRR abs/2403.10965 (2024) - [i1]Aashu, Kanchan Rajwar, Millie Pant, Kusum Deep:
Application of Machine Learning in Agriculture: Recent Trends and Future Research Avenues. CoRR abs/2405.17465 (2024) - 2023
- [j80]Kanchan Rajwar, Kusum Deep, Swagatam Das:
An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges. Artif. Intell. Rev. 56(11): 13187-13257 (2023) - [j79]Karuna Panwar, Kusum Deep:
Discrete Salp Swarm Algorithm for Euclidean Travelling Salesman Problem. Appl. Intell. 53(10): 11420-11438 (2023) - [j78]Vanita Garg, Kusum Deep, Sahil Bansal:
Improved Teaching Learning Algorithm with Laplacian operator for solving nonlinear engineering optimization problems. Eng. Appl. Artif. Intell. 124: 106549 (2023) - 2022
- [j77]Preeti, Kusum Deep:
A random walk Grey wolf optimizer based on dispersion factor for feature selection on chronic disease prediction. Expert Syst. Appl. 206: 117864 (2022) - [e20]Joong Hoon Kim, Kusum Deep, Zong Woo Geem, Ali Sadollah, Anupam Yadav:
Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications - ICHSA 2022, Seoul, South Korea. Lecture Notes on Data Engineering and Communications Technologies 140, Springer 2022, ISBN 978-981-19-2947-2 [contents] - 2021
- [j76]Karuna Panwar, Kusum Deep:
Discrete Grey Wolf Optimizer for symmetric travelling salesman problem. Appl. Soft Comput. 105: 107298 (2021) - [j75]Shail Kumar Dinkar, Kusum Deep, Seyedali Mirjalili, Shivankur Thapliyal:
Opposition-based Laplacian Equilibrium Optimizer with application in Image Segmentation using Multilevel Thresholding. Expert Syst. Appl. 174: 114766 (2021) - [j74]Jagdish Chand Bansal, Kusum Deep, Atulya K. Nagar:
Special issue on swarm intelligence and its applications to engineering. Journal: evolutionary intelligence. Evol. Intell. 14(3): 1187-1188 (2021) - [j73]Shubham Gupta, Kusum Deep, Ali Asghar Heidari, Hossein Moayedi, Huiling Chen:
Harmonized salp chain-built optimization. Eng. Comput. 37(2): 1049-1079 (2021) - [j72]Shubham Gupta, Kusum Deep, Hossein Moayedi, Loke Kok Foong, Assif Assad:
Sine cosine grey wolf optimizer to solve engineering design problems. Eng. Comput. 37(4): 3123-3149 (2021) - [j71]Karuna Panwar, Kusum Deep:
Transformation operators based grey wolf optimizer for travelling salesman problem. J. Comput. Sci. 55: 101454 (2021) - [j70]Shail Kumar Dinkar, Kusum Deep:
Single and multi-objective optimization of nanofluid flow in flat tube to enhance heat transfer using antlion optimizer algorithms. Int. J. Syst. Assur. Eng. Manag. 12(6): 1026-1035 (2021) - 2020
- [j69]Shubham Gupta, Kusum Deep:
A novel hybrid sine cosine algorithm for global optimization and its application to train multilayer perceptrons. Appl. Intell. 50(4): 993-1026 (2020) - [j68]Shubham Gupta, Kusum Deep:
A memory-based Grey Wolf Optimizer for global optimization tasks. Appl. Soft Comput. 93: 106367 (2020) - [j67]Shubham Gupta, Kusum Deep, Seyedali Mirjalili:
An efficient equilibrium optimizer with mutation strategy for numerical optimization. Appl. Soft Comput. 96: 106542 (2020) - [j66]Shubham Gupta, Kusum Deep, Andries P. Engelbrecht:
A memory guided sine cosine algorithm for global optimization. Eng. Appl. Artif. Intell. 93: 103718 (2020) - [j65]Shubham Gupta, Kusum Deep, Seyedali Mirjalili, Joong Hoon Kim:
A modified Sine Cosine Algorithm with novel transition parameter and mutation operator for global optimization. Expert Syst. Appl. 154: 113395 (2020) - [j64]Shubham Gupta, Kusum Deep, Ali Asghar Heidari, Hossein Moayedi, Mingjing Wang:
Opposition-based learning Harris hawks optimization with advanced transition rules: principles and analysis. Expert Syst. Appl. 158: 113510 (2020) - [j63]Shubham Gupta, Kusum Deep:
Enhanced leadership-inspired grey wolf optimizer for global optimization problems. Eng. Comput. 36(4): 1777-1800 (2020) - [j62]Shail Kumar Dinkar, Kusum Deep:
Opposition-based antlion optimizer using Cauchy distribution and its application to data clustering problem. Neural Comput. Appl. 32(11): 6967-6995 (2020) - [j61]Shubham Gupta, Kusum Deep:
Hybrid sine cosine artificial bee colony algorithm for global optimization and image segmentation. Neural Comput. Appl. 32(13): 9521-9543 (2020) - [e19]Kedar Nath Das, Jagdish Chand Bansal, Kusum Deep, Atulya K. Nagar, Ponnambalam Pathipooranam, Rani Chinnappa Naidu:
Soft Computing for Problem Solving - SocProS 2018, Volume 1, VIT Vellore, India, December 17-19, 2018. Advances in Intelligent Systems and Computing 1048, Springer 2020, ISBN 978-981-15-0034-3 [contents] - [e18]Kedar Nath Das, Jagdish Chand Bansal, Kusum Deep, Atulya K. Nagar, Ponnambalam Pathipooranam, Rani Chinnappa Naidu:
Soft Computing for Problem Solving - SocProS 2018, Volume 2, VIT Vellore, India, December 17-19, 2018. Advances in Intelligent Systems and Computing 1057, Springer 2020, ISBN 978-981-15-0183-8 [contents] - [e17]Atulya K. Nagar, Kusum Deep, Jagdish Chand Bansal, Kedar Nath Das:
Soft Computing for Problem Solving 2019 - Proceedings of SocProS 2019, Volume 1, Liverpool Hope University, UK, 2-4 September 2019. Advances in Intelligent Systems and Computing 1138, Springer 2020, ISBN 978-981-15-3289-4 [contents] - [e16]Atulya K. Nagar, Kusum Deep, Jagdish Chand Bansal, Kedar Nath Das:
Soft Computing for Problem Solving 2019 - Proceedings of SocProS 2019, Volume 2, Liverpool Hope University, UK, 2-4 September 2019. Advances in Intelligent Systems and Computing 1139, Springer 2020, ISBN 978-981-15-3286-3 [contents]
2010 – 2019
- 2019
- [j60]Shubham Gupta, Kusum Deep:
A hybrid self-adaptive sine cosine algorithm with opposition based learning. Expert Syst. Appl. 119: 210-230 (2019) - [j59]Shubham Gupta, Kusum Deep:
An opposition-based chaotic Grey Wolf Optimizer for global optimisation tasks. J. Exp. Theor. Artif. Intell. 31(5): 751-779 (2019) - [j58]Shubham Gupta, Kusum Deep:
Improved sine cosine algorithm with crossover scheme for global optimization. Knowl. Based Syst. 165: 374-406 (2019) - [j57]Amreek Singh, Kusum Deep:
Exploration-exploitation balance in Artificial Bee Colony algorithm: a critical analysis. Soft Comput. 23(19): 9525-9536 (2019) - [j56]Amreek Singh, Kusum Deep:
Artificial Bee Colony algorithm with improved search mechanism. Soft Comput. 23(23): 12437-12460 (2019) - [j55]Shubham Gupta, Kusum Deep:
A novel Random Walk Grey Wolf Optimizer. Swarm Evol. Comput. 44: 101-112 (2019) - [c62]Amarjeet Singh, Kusum Deep:
Performance Analysis of Whale Optimization Algorithm Based on Strategy Parameter. SocProS (1) 2019: 15-30 - [c61]Assif Assad, Kusum Deep, Neil Buckley, Atulya K. Nagar:
Optimization of Lycopene Extraction from Tomato Processing Waste Skin Using Harmony Search Algorithm. SocProS (2) 2019: 141-154 - [e15]Jagdish Chand Bansal, Kedar Nath Das, Atulya Nagar, Kusum Deep, Akshay Kumar Ojha:
Soft Computing for Problem Solving - SocProS 2017, Volume 1, Bhubaneswar, India, December 23-24, 2017. Advances in Intelligent Systems and Computing 816, Springer 2019, ISBN 978-981-13-1591-6 [contents] - [e14]Jagdish Chand Bansal, Kedar Nath Das, Atulya Nagar, Kusum Deep, Akshay Kumar Ojha:
Soft Computing for Problem Solving - SocProS 2017, Volume 2, Bhubaneswar, India, December 23-24, 2017. Advances in Intelligent Systems and Computing 817, Springer 2019, ISBN 978-981-13-1594-7 [contents] - 2018
- [j54]Shubham Gupta, Kusum Deep:
Random walk grey wolf optimizer for constrained engineering optimization problems. Comput. Intell. 34(4): 1025-1045 (2018) - [j53]Assif Assad, Kusum Deep:
A Hybrid Harmony search and Simulated Annealing algorithm for continuous optimization. Inf. Sci. 450: 246-266 (2018) - [j52]Shubham Gupta, Kusum Deep:
Cauchy Grey Wolf Optimiser for continuous optimisation problems. J. Exp. Theor. Artif. Intell. 30(6): 1051-1075 (2018) - [j51]Shail Kumar Dinkar, Kusum Deep:
An efficient opposition based Lévy Flight Antlion optimizer for optimization problems. J. Comput. Sci. 29: 119-141 (2018) - [j50]Millie Pant, Kusum Deep, Jagdish Chand Bansal, Kedar Nath Das, Atulya K. Nagar:
Soft computing for problem solving (SocProS 2015). Int. J. Syst. Assur. Eng. Manag. 9(1): 1 (2018) - [j49]Om Prakash Dubey, Manisha Rani, Kusum Deep:
Protect botanical plants and pluck botanical products using robotics and image processing. Int. J. Syst. Assur. Eng. Manag. 9(1): 287-293 (2018) - [j48]Kusum Deep, Hadush Mebrahtu Adane, Atulya K. Nagar:
Novel GA for metropolitan stations of Indian railways when modelled as a TSP. Int. J. Syst. Assur. Eng. Manag. 9(3): 639-645 (2018) - [j47]Jagdish Chand Bansal, Harish Sharma, Kusum Deep, Kedar Nath Das, Atulya Nagar:
Special issue on swarm intelligence and its applications to engineering. Int. J. Syst. Assur. Eng. Manag. 9(4): 739-740 (2018) - [j46]Assif Assad, Kusum Deep:
Harmony search based memetic algorithms for solving sudoku. Int. J. Syst. Assur. Eng. Manag. 9(4): 741-754 (2018) - [c60]Shubham Gupta, Kusum Deep, Assif Assad:
Reliability-Redundancy Allocation Using Random Walk Gray Wolf Optimizer. SocProS (1) 2018: 941-959 - 2017
- [j45]Kavita Gupta, Kusum Deep, Jagdish Chand Bansal:
Improving the Local Search Ability of Spider Monkey Optimization Algorithm Using Quadratic Approximation for Unconstrained Optimization. Comput. Intell. 33(2): 210-240 (2017) - [j44]Assif Assad, Kusum Deep:
A two-phase harmony search algorithm for continuous optimization. Comput. Intell. 33(4): 1038-1075 (2017) - [j43]Shail Kumar Dinkar, Kusum Deep:
Opposition based Laplacian Ant Lion Optimizer. J. Comput. Sci. 23: 71-90 (2017) - [j42]Amreek Singh, Kusum Deep, Pallavi Grover:
A novel approach to accelerate calibration process of a k-nearest neighbours classifier using GPU. J. Parallel Distributed Comput. 104: 114-129 (2017) - [j41]Garima Singh, Kusum Deep:
Effectiveness of new Multiple-PSO based Membrane Optimization Algorithms on CEC 2014 benchmarks and Iris classification. Nat. Comput. 16(3): 473-496 (2017) - [j40]Garima Singh, Kusum Deep:
Cell-like P-systems using deterministic update rules to solve Sudoku. Int. J. Syst. Assur. Eng. Manag. 8(2s): 857-866 (2017) - [j39]Vanita Garg, Kusum Deep:
Constrained Laplacian biogeography-based optimization algorithm. Int. J. Syst. Assur. Eng. Manag. 8(2s): 867-885 (2017) - [j38]Hira Zaheer, Millie Pant, Sushil Kumar, Oleg G. Monakhov, Emilia A. Monakhova, Kusum Deep:
A new guiding force strategy for differential evolution. Int. J. Syst. Assur. Eng. Manag. 8(4s): 2170-2183 (2017) - [j37]Kavita Gupta, Kusum Deep, Jagdish Chand Bansal:
Spider monkey optimization algorithm for constrained optimization problems. Soft Comput. 21(23): 6933-6962 (2017) - [j36]Soniya Lalwani, Rajesh Kumar, Kusum Deep:
Multi-objective two-level swarm intelligence approach for multiple RNA sequence-structure alignment. Swarm Evol. Comput. 34: 130-144 (2017) - [c59]Amarjeet Singh, Kusum Deep:
Use of Improved Gravitational Search Algorithm for 3D Reconstruction of Space Curves Using NURBS. SocProS (1) 2017: 185-197 - [c58]Soniya Lalwani, Harish Sharma, Abhay Verma, Kusum Deep:
Minimization of Makespan for Parallel Machines Using PSO to Enhance Caching of MSA-Based Multi-query Processes. SocProS (2) 2017: 193-205 - [c57]Shubham Gupta, Kusum Deep:
Improved Grey Wolf Optimizer Based on Opposition-Based Learning. SocProS (2) 2017: 327-338 - [c56]Shail Kumar Dinkar, Kusum Deep:
A Novel CPU Scheduling Algorithm Based on Ant Lion Optimizer. SocProS (1) 2017: 339-353 - [c55]Ashok Pal, Kusum Deep, S. B. Singh:
Solution of Optimization Problems in Fuzzy Background Using HVPSO Algorithm. SocProS (2) 2017: 495-508 - [c54]Shubham Gupta, Kusum Deep:
Hybrid Grey Wolf Optimizer with Mutation Operator. SocProS (2) 2017: 961-968 - [e13]Kusum Deep, Jagdish Chand Bansal, Kedar Nath Das, Arvind Kumar Lal, Harish Garg, Atulya K. Nagar, Millie Pant:
Proceedings of Sixth International Conference on Soft Computing for Problem Solving - SocProS 2016, Volume 1, Thapar University, Patiala, India, December 23-24, 2016. Advances in Intelligent Systems and Computing 546, Springer 2017, ISBN 978-981-10-3321-6 [contents] - [e12]Kusum Deep, Jagdish Chand Bansal, Kedar Nath Das, Arvind Kumar Lal, Harish Garg, Atulya K. Nagar, Millie Pant:
Proceedings of Sixth International Conference on Soft Computing for Problem Solving - SocProS 2016, Volume 2, Thapar University, Patiala, India, December 23-24, 2016. Advances in Intelligent Systems and Computing 547, 2017, ISBN 978-981-10-3324-7 [contents] - 2016
- [j35]Garima Singh, 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. Appl. Soft Comput. 45: 27-39 (2016) - [j34]Vanita Garg, Kusum Deep:
Efficient Mutation Strategies Embedded in Laplacian-Biogeography-Based Optimization Algorithm for Unconstrained Function Minimization. Int. J. Appl. Evol. Comput. 7(2): 12-44 (2016) - [j33]Anupam Yadav, Kusum Deep:
A shrinking hypersphere PSO for engineering optimisation problems. J. Exp. Theor. Artif. Intell. 28(1-2): 1-33 (2016) - [j32]Vanita Garg, Kusum Deep:
Performance of Laplacian Biogeography-Based Optimization Algorithm on CEC 2014 continuous optimization benchmarks and camera calibration problem. Swarm Evol. Comput. 27: 132-144 (2016) - [j31]Anupam Yadav, Kusum Deep, Joong Hoon Kim, Atulya K. Nagar:
Gravitational swarm optimizer for global optimization. Swarm Evol. Comput. 31: 64-89 (2016) - [c53]Amarjeet Singh, Kusum Deep:
Hybridized Gravitational Search Algorithms with Real Coded Genetic Algorithms for Integer and Mixed Integer Optimization Problems. SocProS (1) 2016: 84-112 - [c52]Vanita Garg, Kusum Deep:
Effectiveness of Constrained Laplacian Biogeography Based Optimization for Solving Structural Engineering Design Problems. SocProS (2) 2016: 206-219 - [e11]Millie Pant, Kusum Deep, Jagdish Chand Bansal, Atulya Nagar, Kedar Nath Das:
Proceedings of Fifth International Conference on Soft Computing for Problem Solving - SocProS 2015, Volume 1, Saharanpur, Uttar Pradesh, India, December 18-20, 2015. Advances in Intelligent Systems and Computing 436, Springer 2016, ISBN 978-981-10-0447-6 [contents] - [e10]Millie Pant, Kusum Deep, Jagdish Chand Bansal, Atulya Nagar, Kedar Nath Das:
Proceedings of Fifth International Conference on Soft Computing for Problem Solving - SocProS 2015, Volume 2, Saharanpur, Uttar Pradesh, India, December 18-20, 2015. Advances in Intelligent Systems and Computing 437, Springer 2016, ISBN 978-981-10-0450-6 [contents] - 2015
- [j30]Pinkey Chauhan, Millie Pant, Kusum Deep:
Parameter optimization of multi-pass turning using chaotic PSO. Int. J. Mach. Learn. Cybern. 6(2): 319-337 (2015) - [j29]Amarjeet Singh, Kusum Deep:
New variants of glowworm swarm optimization based on step size. Int. J. Syst. Assur. Eng. Manag. 6(3): 286-296 (2015) - [c51]Pushpa Farswan, Jagdish Chand Bansal, Kusum Deep:
A Modified Biogeography Based Optimization. ICHSA 2015: 227-238 - [c50]Kavita Gupta, Kusum Deep:
Tournament Selection Based Probability Scheme in Spider Monkey Optimization Algorithm. ICHSA 2015: 239-250 - [c49]Vanita Garg, Kusum Deep:
Optimal Extraction of Bioactive Compounds from Gardenia Using Laplacian Biogoegraphy Based Optimization. ICHSA 2015: 251-258 - [c48]Shashi Barak, Kusum Deep:
A Novel Crossover Operator Designed to Exploit Synergies of Two Crossover Operators for Real-Coded Genetic Algorithms. SocProS (2) 2015: 343-350 - [c47]Om Prakash Dubey, Manisha Rani, Kusum Deep, Pankaj Kumar Singh:
Robotics and Image Processing for Plucking of Fruits. SocProS (2) 2015: 771-781 - [c46]Vanita Garg, Kusum Deep:
Application of Laplacian Biogeography-Based Optimization: Optimal Extraction of Bioactive Compounds from Ashwgandha. SocProS (2) 2015: 805-812 - [c45]Amarjeet Singh, Kusum Deep, Aakash Deep:
Curve Fitting Using Gravitational Search Algorithm and Its Hybridized Variants. SocProS (2) 2015: 823-837 - [c44]Kavita Gupta, Kusum Deep:
Investigation of Suitable Perturbation Rate Scheme for Spider Monkey Optimization Algorithm. SocProS (2) 2015: 839-850 - [c43]Assif Assad, Kusum Deep:
Applications of Harmony Search Algorithm in Data Mining: A Survey. SocProS (2) 2015: 863-874 - [e9]Kedar Nath Das, Kusum Deep, Millie Pant, Jagdish Chand Bansal, Atulya Nagar:
Proceedings of Fourth International Conference on Soft Computing for Problem Solving - SocProS 2014, Volume 1, NIT Silchar, Silchar, Assam, India, December 27-29, 2014. Advances in Intelligent Systems and Computing 335, Springer 2015, ISBN 978-81-322-2216-3 [contents] - [e8]Kedar Nath Das, Kusum Deep, Millie Pant, Jagdish Chand Bansal, Atulya Nagar:
Proceedings of Fourth International Conference on Soft Computing for Problem Solving - SocProS 2014, Volume 2, NIT Silchar, Silchar, Assam, India, December 27-29, 2014. Advances in Intelligent Systems and Computing 336, Springer 2015, ISBN 978-81-322-2219-4 [contents] - 2014
- [j28]Garima Singh, Kusum Deep, Atulya K. Nagar:
Cell-like P-systems based on rules of Particle Swarm Optimization. Appl. Math. Comput. 246: 546-560 (2014) - [j27]Madhuri Arya, Kusum Deep:
Extraction process optimisation using particle swarm algorithm. Int. J. Artif. Intell. Soft Comput. 4(1): 29-40 (2014) - [j26]Madhuri Arya, Kusum Deep, Jagdish Chand Bansal:
A nature inspired adaptive inertia weight in particle swarm optimisation. Int. J. Artif. Intell. Soft Comput. 4(2/3): 228-248 (2014) - [j25]Krishna Pratap Singh, Kusum Deep, Mitthan Lal Kansal:
Fuzzy-based interactive method for solution of bi- and multi-level programming problems. Int. J. Inf. Decis. Sci. 6(2): 166-181 (2014) - [j24]Jagdish Chand Bansal, Pramod Kumar Singh, Kusum Deep, Atulya Nagar, Millie Pant:
Special Issue on Bio-Inspired Computing: Theories and Applications: Journal of Computational Science. J. Comput. Sci. 5(2): 135-136 (2014) - [j23]Anupam Yadav, Kusum Deep:
An efficient co-swarm particle swarm optimization for non-linear constrained optimization. J. Comput. Sci. 5(2): 258-268 (2014) - [c42]Neha Yadav, Anupam Yadav, Kusum Deep:
Artificial Neural Network Technique for Solution of Nonlinear Elliptic Boundary Value Problems. SocProS (1) 2014: 113-121 - [c41]Om Prakash Dubey, Pankaj Kumar Singh, Pramod Kumar Hota, Satya Narayan Singh, Kusum Deep:
Digitization of Library: Engineering Colleges. SocProS (2) 2014: 233-244 - [c40]Garima Singh, Kusum Deep:
Role of Particle Swarm Optimization in Computer Games. SocProS (2) 2014: 255-273 - [c39]Amarjeet Singh, Kusum Deep:
How Improvements in Glowworm Swarm Optimization Can Solve Real-Life Problems. SocProS (2) 2014: 275-287 - [c38]Vanita Garg, Kusum Deep:
A State-of-the-Art Review of Biogeography-Based Optimization. SocProS (2) 2014: 529-545 - [e7]B. V. Babu, Atulya Nagar, Kusum Deep, Millie Pant, Jagdish Chand Bansal, Kanad Ray, Umesh Gupta:
Proceedings of the Second International Conference on Soft Computing for Problem Solving, SocProS 2012, December 28-30, 2012, JK Lakshmipat University (JKLU), Jaipur, India. Advances in Intelligent Systems and Computing 236, Springer 2014, ISBN 978-81-322-1601-8 [contents] - [e6]Millie Pant, Kusum Deep, Atulya Nagar, Jagdish Chand Bansal:
Proceedings of the Third International Conference on Soft Computing for Problem Solving - SocProS 2013, Volume 1, Greater Noida Extension Centre, IIT Roorkee, India, December 26-28, 2013. Advances in Intelligent Systems and Computing 258, Springer 2014, ISBN 978-81-322-1770-1 [contents] - [e5]Millie Pant, Kusum Deep, Atulya Nagar, Jagdish Chand Bansal:
Proceedings of the Third International Conference on Soft Computing for Problem Solving - SocProS 2013, Volume 2, Greater Noida Extension Centre, IIT Roorkee, India, December 26-28, 2013. Advances in Intelligent Systems and Computing 259, Springer 2014, ISBN 978-81-322-1767-1 [contents] - 2013
- [j22]Kusum Deep, Madhuri Arya, Manoj Thakur, Balasubramanian Raman:
Stereo Camera Calibration using Particle Swarm Optimization. Appl. Artif. Intell. 27(7): 618-634 (2013) - [j21]Anupam Yadav, Kusum Deep:
Shrinking hypersphere based trajectory of particles in PSO. Appl. Math. Comput. 220: 246-267 (2013) - [j20]Pinkey Chauhan, Kusum Deep, Millie Pant:
Novel inertia weight strategies for particle swarm optimization. Memetic Comput. 5(3): 229-251 (2013) - [j19]Jagdish Chand Bansal, Millie Pant, Kusum Deep, Harish Sharma:
Special issue on advances in nature inspired algorithms for complex numerical optimization problems. Memetic Comput. 5(4): 253-254 (2013) - [j18]Kusum Deep, Kedar Nath Das:
A novel hybrid genetic algorithm for constrained optimization. Int. J. Syst. Assur. Eng. Manag. 4(1): 86-93 (2013) - [c37]Amarjeet Singh, Kusum Deep:
Use of Evolutionary Algorithms to Play the Game of Checkers: Historical Developments, Challenges and Future Prospects. SocProS (2) 2013: 55-62 - [c36]Garima Singh, Kusum Deep:
Hybridization of P Systems and Particle Swarm Optimization for Function Optimization. SocProS (1) 2013: 395-401 - [c35]Satya Narayan Singh, Om Prakash Dubey, Kusum Deep, Ajay Prasad:
Role of Information Technology in Financial Inclusion. SocProS (1) 2013: 495-502 - [c34]Anupam Yadav, Kusum Deep:
A Novel Co-swarm Gravitational Search Algorithm for Constrained Optimization. SocProS (1) 2013: 629-640 - [e4]Jagdish Chand Bansal, Pramod Kumar Singh, Kusum Deep, Millie Pant, Atulya Nagar:
Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012) - Volume 1. Advances in Intelligent Systems and Computing 201, Springer 2013, ISBN 978-81-322-1037-5 [contents] - [e3]Jagdish Chand Bansal, Pramod Kumar Singh, Kusum Deep, Millie Pant, Atulya Nagar:
Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012) - Volume 2. Advances in Intelligent Systems and Computing 202, Springer 2013, ISBN 978-81-322-1040-5 [contents] - 2012
- [j17]Jagdish Chand Bansal, Kusum Deep:
A Modified Binary Particle Swarm Optimization for Knapsack Problems. Appl. Math. Comput. 218(22): 11042-11061 (2012) - [j16]Kusum Deep, Pinkey Chauhan, Millie Pant:
New Hybrid Discrete PSO for Solving Non Convex Trim Loss Problem. Int. J. Appl. Evol. Comput. 3(2): 19-41 (2012) - [j15]Harish Sharma, Jagdish Chand Bansal, K. V. Arya, Kusum Deep:
Dynamic Swarm Artificial Bee Colony Algorithm. Int. J. Appl. Evol. Comput. 3(4): 19-33 (2012) - [j14]Kusum Deep, Hadush Mebrahtu Adane:
Variant of partially mapped crossover for the Travelling Salesman problem. Int. J. Comb. Optim. Probl. Informatics 3(1): 47-69 (2012) - [j13]Kusum Deep, Jagdish Chand Bansal:
Solving Economic Dispatch Problems with Valve-point Effects using Particle Swarm Optimization. J. Univers. Comput. Sci. 18(13): 1842-1852 (2012) - [c33]Kusum Deep, Madhuri:
Liquid-Drop-Like Multi-Orbit Topology Versus Ring Topology in PSO for Lennard-Jones Problem. BIC-TA (2) 2012: 229-243 - [c32]Kusum Deep, Pinkey Chauhan, Millie Pant:
Totally disturbed chaotic Particle Swarm Optimization. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c31]Kusum Deep, Pinkey Chauhan, Millie Pant:
Multi task selection including part mix, tool allocation and process plans in CNC machining centers using new binary PSO. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c30]Kusum Deep, Dipti Singh:
Engineering Optimization Using SOMGA. SocProS 2012: 323-335 - [c29]Om Prakash Dubey, Kusum Deep, Atulya K. Nagar:
Goal Programming Approach to Trans-shipment Problem. SocProS 2012: 337-343 - [e2]Kusum Deep, Atulya Nagar, Millie Pant, Jagdish Chand Bansal:
Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011 - Volume 1. Advances in Intelligent and Soft Computing 130, Springer 2012, ISBN 978-81-322-0486-2 [contents] - [e1]Kusum Deep, Atulya Nagar, Millie Pant, Jagdish Chand Bansal:
Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011 - Volume 2. Advances in Intelligent and Soft Computing 131, Springer 2012, ISBN 978-81-322-0490-9 [contents] - 2011
- [j12]Kusum Deep, Krishna Pratap Singh, Mitthan Lal Kansal, C. Mohan:
An interactive method using genetic algorithm for multi-objective optimization problems modeled in fuzzy environment. Expert Syst. Appl. 38(3): 1659-1667 (2011) - [j11]Kusum Deep, Hadush Mebrahtu Adane:
New Variations of Order Crossover for Travelling Salesman Problem. Int. J. Comb. Optim. Probl. Informatics 2(1): 2-13 (2011) - [j10]Kusum Deep, Hadush Mebrathu:
Combined Mutation Operators of Genetic Algorithm for the Travelling Salesman Problem. Int. J. Comb. Optim. Probl. Informatics 2(3): 2-24 (2011) - [c28]Kusum Deep, Madhuri Arya, Jagdish Chand Bansal:
A non-deterministic adaptive inertia weight in PSO. GECCO 2011: 1155-1162 - [c27]Anupam Yadav, Kusum Deep:
A New Disc Based Particle Swarm Optimization. SocProS (1) 2011: 23-30 - [c26]Kusum Deep, Madhuri:
Application of Globally Adaptive Inertia Weight PSO to Lennard-Jones Problem. SocProS (1) 2011: 31-38 - [c25]Pinkey Chauhan, Millie Pant, Kusum Deep:
Novel Binary PSO for Continuous Global Optimization Problems. SocProS (1) 2011: 169-176 - [c24]Kusum Deep, Om Prakash Dubey, Atulya Nagar:
Incorporating Genetic Algorithms in Transport Management. SocProS (1) 2011: 177-192 - [c23]Kusum Deep, Shashi Barak, Vinod Kumar Katiyar:
A New Real Coded Genetic Algorithm Operator: Log Logistic Mutation. SocProS (1) 2011: 193-200 - [c22]Manoj Thakur, Kusum Deep:
Design Optimization of Three Wheeled Motor Vehicle: A GA Approach. SocProS (1) 2011: 677-688 - [c21]Sushil Kumar, Rama Sushil, Anilesh Kumar, Vijay Kumar Ray, Pratik Ghosh, Sachin Kumar, Swati Shikha, Sourabh Kumar, Ajay Paul, Anupam Yadav, Kusum Deep:
Timely Prediction of Tsunami Using under Sea Earthquake Signals. SocProS (2) 2011: 1011-1018 - 2010
- [j9]Radha Thangaraj, Millie Pant, Kusum Deep:
Optimal coordination of over-current relays using modified differential evolution algorithms. Eng. Appl. Artif. Intell. 23(5): 820-829 (2010) - [c20]Kusum Deep, Jagdish Chand Bansal:
Particle Swarm Optimization for economic dispatch problems with valve-point effects. BIC-TA 2010: 1395-1398 - [c19]Kusum Deep, Sunita Sharma, Millie Pant:
Modified parallel particle swarm optimization for global optimization using Message Passing Interface. BIC-TA 2010: 1451-1458 - [c18]Shashi Barak, Kusum Deep, Krishna Pratap Singh, Vinod Kumar Katiyar:
Global Optimization of Molecular Potential Energy Function Using a Real Coded Genetic Algorithm. BIOCOMP 2010: 442-447 - [c17]Kusum Deep, Madhuri Arya:
Minimization of Lennard-Jones Potential Using Parallel Particle Swarm Optimization Algorithm. IC3 (1) 2010: 131-140 - [c16]Pinkey Chauhan, Kusum Deep, Millie Pant:
Power Mutation Embedded Modified PSO for Global Optimization Problems. SEMCCO 2010: 139-146 - [c15]Jagdish Chand Bansal, Kusum Deep:
Quadratic Approximation PSO for Economic Dispatch Problems with Valve-Point Effects. SEMCCO 2010: 460-467 - [c14]Radha Thangaraj, Millie Pant, Ajith Abraham, Kusum Deep, Václav Snásel:
Differential evolution using a localized Cauchy mutation operator. SMC 2010: 3710-3716
2000 – 2009
- 2009
- [j8]Kusum Deep, Krishna Pratap Singh, Mitthan Lal Kansal, C. Mohan:
A real coded genetic algorithm for solving integer and mixed integer optimization problems. Appl. Math. Comput. 212(2): 505-518 (2009) - [j7]Kusum Deep, Jagdish Chand Bansal:
Mean particle swarm optimisation for function optimisation. Int. J. Comput. Intell. Stud. 1(1): 72-92 (2009) - [j6]Kusum Deep, Kedar Nath Das:
Performance improvement of real coded genetic algorithm with Quadratic Approximation based hybridisation. Int. J. Intell. Def. Support Syst. 2(4): 319-334 (2009) - [c13]Kusum Deep, Jagdish Chand Bansal:
Optimization of Directional Overcurrent Relay Times using Laplace Crossover Particle Swarm Optimization (LXPSO). NaBIC 2009: 288-293 - [c12]Shashi Barak, Kusum Deep, Vinod Kumar Katiyar:
Finding Stable Conformations of Small Molecules using Real Coded Genetic Algorithm. NaBIC 2009: 342-348 - [c11]Radha Thangaraj, Millie Pant, Kusum Deep:
Initializing PSO with Probability Distributions and Low-discrepancy Sequences: The Comparative Results. NaBIC 2009: 1121-1126 - [c10]Madhuri Gupta, Kusum Deep:
A State-of-the-art Review of Population-based Parallel Meta-heuristics. NaBIC 2009: 1604-1607 - [c9]Kusum Deep, Pinkey Chauhan, Jagdish Chand Bansal:
Solving Nonconvex Trim Loss Problem using an Efficient Hybrid Particle Swarm Optimization. NaBIC 2009: 1608-1611 - [c8]Jagdish Chand Bansal, Kusum Deep, Kalyan Veeramachaneni, Lisa Ann Osadciw:
Information sharing strategy among particles in Particle Swarm Optimization using Laplacian operator. SIS 2009: 30-36 - 2008
- [j5]Kusum Deep, Dipti:
A self-organizing migrating genetic algorithm for constrained optimization. Appl. Math. Comput. 198(1): 237-250 (2008) - [j4]Kusum Deep, Kedar Nath Das:
Quadratic approximation based hybrid genetic algorithm for function optimization. Appl. Math. Comput. 203(1): 86-98 (2008) - [c7]Kusum Deep, Jagdish Chand Bansal:
A Socio-Cognitive Particle Swarm Optimization for Multi-Dimensional Knapsack Problem. ICETET 2008: 355-360 - [c6]Kusum Deep, Krishna Pratap Singh, Mitthan Lal Kansal:
A Fuzzy Interactive Method for Multiobjective Engineering Design Problems. ICETET 2008: 559-563 - [c5]Jagdish Chand Bansal, Kusum Deep:
Optimization of directional overcurrent relay times by particle swarm optimization. SIS 2008: 1-7 - 2007
- [j3]Kusum Deep, Manoj Thakur:
A new crossover operator for real coded genetic algorithms. Appl. Math. Comput. 188(1): 895-911 (2007) - [j2]Kusum Deep, Manoj Thakur:
A new mutation operator for real coded genetic algorithms. Appl. Math. Comput. 193(1): 211-230 (2007) - [c4]Kusum Deep, Dipti:
A new hybrid Self Organizing Migrating Genetic Algorithm for function optimization. IEEE Congress on Evolutionary Computation 2007: 2796-2803 - [c3]Kusum Deep, Prabeer Kumar Parhi, Kedar Nath Das:
Coparative Optimization of Infiltration Parameters. GEM 2007: 102-107 - [p1]Kusum Deep, Jagdish Chand Bansal:
Performance Analysis of Turning Process via Particle Swarm Optimization. NICSO 2007: 453-460 - 2006
- [c2]Millie Pant, Kusum Deep:
Building a Better Air Defence System Using Genetic Algorithms. KES (1) 2006: 951-959 - [c1]Manoj Thakur, Kusum Deep:
Data Assimilation of a Biological Model Using Genetic Algorithms. SGAI Conf. (Applications) 2006: 238-242
1990 – 1999
- 1995
- [j1]Kusum Deep, David J. Evans:
The Random Search Global Optimization Method for Parallel Computers. Parallel Algorithms Appl. 5(3-4): 269-282 (1995)
Coauthor Index
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