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ORCIDVikram Kumar Kamboj
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2020 – today
- 2024
[j23]Shivani Sehgal, Aman Ganesh, Vikram Kumar Kamboj, Om P. Malik:
A Memetic Approach to Multi-Disciplinary Design and Numerical Optimization Problems using Intensify Slime Mould Optimizer. Appl. Intell. 54(2): 2031-2083 (2024)- [j22]Shrikant Bhardwaj, Sobhit Saxena, Vikram Kumar Kamboj, Om P. Malik:
A sophisticated solution to numerical and engineering optimization problems using Chaotic Beluga Whale Optimizer. Soft Comput. 28(17-18): 9803-9843 (2024) - 2023
- [j21]Pravin G. Dhawale, Vikram Kumar Kamboj, S. K. Bath:
A levy flight based strategy to improve the exploitation capability of arithmetic optimization algorithm for engineering global optimization problems. Trans. Emerg. Telecommun. Technol. 34(4) (2023) - [j20]Dinesh Dhawale
, Vikram Kumar Kamboj, Priyanka Anand:
An improved Chaotic Harris Hawks Optimizer for solving numerical and engineering optimization problems. Eng. Comput. 39(2): 1183-1228 (2023) - [j19]Sabitabrata Bhattacharya, Suman Lata Tripathi, Vikram Kumar Kamboj:
Design of tunnel FET architectures for low power application using improved Chimp optimizer algorithm. Eng. Comput. 39(2): 1415-1458 (2023) - [j18]Ch. Leela Kumari, Vikram Kumar Kamboj, S. K. Bath, Suman Lata Tripathi, Megha Khatri, Shivani Sehgal:
A boosted chimp optimizer for numerical and engineering design optimization challenges. Eng. Comput. 39(4): 2463-2514 (2023) - [c2]Pravin G. Dhawale, Vikram Kumar Kamboj, S. K. Bath, Chaman Verma, Maria Simona Raboaca, Constantin Filote, Deepak Kumar:
Optimal Sizing of Security Constrained Unit Commitment Problem Integrated with Renewable Energy Sources and PEVs. ECAI 2023: 1-5 - [c1]Vikram Kumar Kamboj, Ardhala Bala Krishna, Chaman Verma, Maria Simona Raboaca, Constantin Filote, Maria Stepanova:
Chaotic American zebra search optimization algorithm for benchmark challenges. ECAI 2023: 1-5 - 2022
- [j17]Dinesh Dhawale, Vikram Kumar Kamboj, Priyanka Anand:
An effective solution to numerical and multi-disciplinary design optimization problems using chaotic slime mold algorithm. Eng. Comput. 38(4): 2739-2777 (2022) - [j16]Dinesh Dhawale, Vikram Kumar Kamboj, Priyanka Anand:
Correction to: An effective solution to numerical and multi-disciplinary design optimization problems using chaotic slime mold algorithm. Eng. Comput. 38(4): 2779 (2022) - [j15]Ardhala Bala Krishna, Sobhit Saxena, Vikram Kumar Kamboj:
hSMA-PS: a novel memetic approach for numerical and engineering design challenges. Eng. Comput. 38(4): 3513-3547 (2022) - 2021
- [j14]Ashutosh Bhadoria, Sanjay Marwaha, Vikram Kumar Kamboj:
A solution to statistical and multidisciplinary design optimization problems using hGWO-SA algorithm. Neural Comput. Appl. 33(8): 3799-3824 (2021) - [j13]Ardhala Bala Krishna, Sobhit Saxena, Vikram Kumar Kamboj:
A novel statistical approach to numerical and multidisciplinary design optimization problems using pattern search inspired Harris hawks optimizer. Neural Comput. Appl. 33(12): 7031-7072 (2021) - [j12]Rajkumar Sarma, Cherry Bhargava, Shruti Jain, Vikram Kumar Kamboj:
Application of ameliorated Harris Hawks optimizer for designing of low-power signed floating-point MAC architecture. Neural Comput. Appl. 33(14): 8893-8922 (2021) - 2020
- [j11]Vikram Kumar Kamboj, Ayani Nandi, Ashutosh Bhadoria, Shivani Sehgal:
An intensify Harris Hawks optimizer for numerical and engineering optimization problems. Appl. Soft Comput. 89: 106018 (2020) - [j10]Ashutosh Bhadoria, Sanjay Marwaha, Vikram Kumar Kamboj:
An optimum forceful generation scheduling and unit commitment of thermal power system using sine cosine algorithm. Neural Comput. Appl. 32(7): 2785-2814 (2020) - [j9]Vikram Kumar Kamboj, Chaman Verma, Anish Gupta:
Early Detection of Covid-19 in Canadian Provinces and its Anticipatory Measures for a Medical Emergency. SN Comput. Sci. 1(6): 349 (2020)
2010 – 2019
- 2019
- [j8]Ashutosh Bhadoria, Vikram Kumar Kamboj:
Optimal generation scheduling and dispatch of thermal generating units considering impact of wind penetration using hGWO-RES algorithm. Appl. Intell. 49(4): 1517-1547 (2019) - 2017
- [j7]Vikram Kumar Kamboj, S. K. Bath, J. S. Dhillon:
Hybrid HS-random search algorithm considering ensemble and pitch violation for unit commitment problem. Neural Comput. Appl. 28(5): 1123-1148 (2017) - [j6]Vikram Kumar Kamboj, S. K. Bath, J. S. Dhillon:
A novel hybrid DE-random search approach for unit commitment problem. Neural Comput. Appl. 28(7): 1559-1581 (2017) - [j5]Vikram Kumar Kamboj, Ashutosh Bhadoria, S. K. Bath:
Solution of non-convex economic load dispatch problem for small-scale power systems using ant lion optimizer. Neural Comput. Appl. 28(8): 2181-2192 (2017) - [j4]Vikram Kumar Kamboj, S. K. Bath, J. S. Dhillon:
Multiobjective multiarea unit commitment using hybrid differential evolution algorithm considering import/export and tie-line constraints. Neural Comput. Appl. 28(11): 3521-3536 (2017) - 2016
- [j3]Vikram Kumar Kamboj, S. K. Bath, J. S. Dhillon:
Solution of non-convex economic load dispatch problem using Grey Wolf Optimizer. Neural Comput. Appl. 27(5): 1301-1316 (2016) - [j2]Vikram Kumar Kamboj:
A novel hybrid PSO-GWO approach for unit commitment problem. Neural Comput. Appl. 27(6): 1643-1655 (2016) - 2014
- [j1]Vikram Kumar Kamboj, S. K. Bath:
Scope of Biogeography Based Optimization for Economic Load Dispatch and Multi-Objective Unit Commitment Problem. Int. J. Energy Optim. Eng. 3(4): 34-54 (2014)
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