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Anupam Trivedi
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2020 – today
- 2024
- [j19]Dikshit Chauhan, Anupam Trivedi, Anupam Yadav:
U-AEFA: Online and offline learning-based unified artificial electric field algorithm for real parameter optimization. Knowl. Based Syst. 305: 112636 (2024) - [j18]Can Berk Saner, Anupam Trivedi, Dipti Srinivasan:
A Multi-Module Modeling and Optimization Framework for Integrated Planning and Operation of Electric Bus Shuttle Fleets. IEEE Trans. Intell. Transp. Syst. 25(11): 16910-16924 (2024) - [j17]Hui Li, Zhouyang Ren, Anupam Trivedi, Dipti Srinivasan, Peng Liu:
Optimal Planning of Dual-Zero Microgrid on an Island Toward Net-Zero Carbon Emission. IEEE Trans. Smart Grid 15(2): 1243-1257 (2024) - [i2]Dikshit Chauhan, Anupam Trivedi, Shivani:
A Multi-operator Ensemble LSHADE with Restart and Local Search Mechanisms for Single-objective Optimization. CoRR abs/2409.15994 (2024) - [i1]Anupam Trivedi, Dikshit Chauhan:
UDE-III: An Enhanced Unified Differential Evolution Algorithm for Constrained Optimization Problems. CoRR abs/2410.03992 (2024) - 2023
- [j16]Linjun He, Auraham Camacho, Yang Nan, Anupam Trivedi, Hisao Ishibuchi, Dipti Srinivasan:
Effects of corner weight vectors on the performance of decomposition-based multiobjective algorithms. Swarm Evol. Comput. 79: 101305 (2023) - [j15]Qizhang Luo, Guohua Wu, Anupam Trivedi, Fangyu Hong, Ling Wang, Dipti Srinivasan:
Multi-Objective Optimization Algorithm With Adaptive Resource Allocation for Truck-Drone Collaborative Delivery and Pick-Up Services. IEEE Trans. Intell. Transp. Syst. 24(9): 9642-9657 (2023) - 2022
- [j14]Can Berk Saner, Anupam Trivedi, Dipti Srinivasan:
A Cooperative Hierarchical Multi-Agent System for EV Charging Scheduling in Presence of Multiple Charging Stations. IEEE Trans. Smart Grid 13(3): 2218-2233 (2022) - [c16]Can Berk Saner, Anupam Trivedi, Dipti Srinivasan:
An EV Charging Scheduling Methodology to Reduce Demand and Energy Charges in Industrial and Commercial Sites. ISGT Asia 2022: 285-289 - [c15]Can Berk Saner, Raymond Ho Chin Wei, Sayed A. R. Alkaff, Lee Wei Zheng, Lee Yu Wei, Anupam Trivedi, Dipti Srinivasan:
A Vehicle and Charging Scheduling Framework for Campus Shuttle Electric Buses. ISGT Asia 2022: 290-294 - [c14]Zhihao Yang, Ming Ni, Haoming Liu, Anupam Trivedi, Dipti Srinivasan:
Distribution Network Congestion Management with Internet Data Centers Using Bi-level Programming. ISGT Asia 2022: 394-398 - [e1]Hisao Ishibuchi, Chee-Keong Kwoh, Ah-Hwee Tan, Dipti Srinivasan, Chunyan Miao, Anupam Trivedi, Keeley A. Crockett:
IEEE Symposium Series on Computational Intelligence, SSCI 2022, Singapore, December 4-7, 2022. IEEE 2022, ISBN 978-1-6654-8768-9 [contents] - 2021
- [j13]Mengjun Ming, Anupam Trivedi, Rui Wang, Dipti Srinivasan, Tao Zhang:
A Dual-Population-Based Evolutionary Algorithm for Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. 25(4): 739-753 (2021) - [j12]Linjun He, Hisao Ishibuchi, Anupam Trivedi, Handing Wang, Yang Nan, Dipti Srinivasan:
A Survey of Normalization Methods in Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 25(6): 1028-1048 (2021) - 2020
- [c13]Linjun He, Hisao Ishibuchi, Anupam Trivedi, Dipti Srinivasan:
Dynamic Normalization in MOEA/D for Multiobjective optimization. CEC 2020: 1-8
2010 – 2019
- 2019
- [j11]Rahul Mehta, Dipti Srinivasan, Anupam Trivedi, Jing Yang:
Hybrid Planning Method Based on Cost-Benefit Analysis for Smart Charging of Plug-In Electric Vehicles in Distribution Systems. IEEE Trans. Smart Grid 10(1): 523-534 (2019) - [j10]Utkarsh Kumar, Dipti Srinivasan, Anupam Trivedi, Wenjie Zhang, Thomas Reindl:
Distributed Model-Predictive Real-Time Optimal Operation of a Network of Smart Microgrids. IEEE Trans. Smart Grid 10(3): 2833-2845 (2019) - 2018
- [j9]Rahul Mehta, Dipti Srinivasan, Ashwin M. Khambadkone, Jing Yang, Anupam Trivedi:
Smart Charging Strategies for Optimal Integration of Plug-In Electric Vehicles Within Existing Distribution System Infrastructure. IEEE Trans. Smart Grid 9(1): 299-312 (2018) - [j8]Anurag Sharma, Dipti Srinivasan, Anupam Trivedi:
A Decentralized Multi-Agent Approach for Service Restoration in Uncertain Environment. IEEE Trans. Smart Grid 9(4): 3394-3405 (2018) - [c12]Anupam Trivedi, Dipti Srinivasan:
Empirical Investigations Into the Composite Differential Evolution on CEC 2017 Constrained Optimization Problems. SMC 2018: 280-285 - 2017
- [j7]Anupam Trivedi, Dipti Srinivasan, Krishnendu Sanyal, Abhiroop Ghosh:
A Survey of Multiobjective Evolutionary Algorithms Based on Decomposition. IEEE Trans. Evol. Comput. 21(3): 440-462 (2017) - [j6]Utkarsh Kumar, Anupam Trivedi, Dipti Srinivasan, Thomas Reindl:
A Consensus-Based Distributed Computational Intelligence Technique for Real-Time Optimal Control in Smart Distribution Grids. IEEE Trans. Emerg. Top. Comput. Intell. 1(1): 51-60 (2017) - [c11]Anupam Trivedi, Dipti Srinivasan, Kunal Pal, Thomas Reindl:
A MOEA/D with Non-uniform Weight Vector Distribution Strategy for Solving the Unit Commitment Problem in Uncertain Environment. ACALCI 2017: 378-390 - [c10]Anupam Trivedi, Krishnendu Sanyal, Pranjal Verma, Dipti Srinivasan:
A unified differential evolution algorithm for constrained optimization problems. CEC 2017: 1231-1238 - [c9]Utkarsh Kumar, Dipti Srinivasan, Thomas Reindl, Anupam Trivedi:
Grid ancillary service using distributed computational intelligence based control of renewables and storage systems in a distribution network. CEC 2017: 1412-1419 - [c8]Anupam Trivedi, Nimagna Biswas, Saurajit Chakraborty, Dipti Srinivasan:
Extending unified differential evolution with a new ensemble of constraint handling techniques. SSCI 2017: 1-8 - 2016
- [j5]Anupam Trivedi, Dipti Srinivasan, Subhodip Biswas, Thomas Reindl:
A genetic algorithm - differential evolution based hybrid framework: Case study on unit commitment scheduling problem. Inf. Sci. 354: 275-300 (2016) - [c7]Rahul Mehta, Dipti Srinivasan, Anupam Trivedi:
Optimal charging scheduling of plug-in electric vehicles for maximizing penetration within a workplace car park. CEC 2016: 3646-3653 - [c6]Anupam Trivedi, Dipti Srinivasan, Kunal Pal, Thomas Reindl:
A multiobjective evolutionary algorithm based on decomposition for unit commitment problem with significant wind penetration. CEC 2016: 3939-3946 - 2015
- [j4]Anupam Trivedi, Dipti Srinivasan, Subhodip Biswas, Thomas Reindl:
Hybridizing genetic algorithm with differential evolution for solving the unit commitment scheduling problem. Swarm Evol. Comput. 23: 50-64 (2015) - [j3]Anupam Trivedi, Dipti Srinivasan, Kunal Pal, Chiranjib Saha, Thomas Reindl:
Enhanced Multiobjective Evolutionary Algorithm Based on Decomposition for Solving the Unit Commitment Problem. IEEE Trans. Ind. Informatics 11(6): 1346-1357 (2015) - [j2]Anurag Sharma, Dipti Srinivasan, Anupam Trivedi:
A Decentralized Multiagent System Approach for Service Restoration Using DG Islanding. IEEE Trans. Smart Grid 6(6): 2784-2793 (2015) - [c5]Anupam Trivedi, Dipti Srinivasan, Thomas Reindl, Chanan Singh:
A multi-objective genetic algorithm for unit commitment with significant wind penetration. CEC 2015: 311-318 - [c4]Anupam Trivedi, R. Bharat Menon, Dipti Srinivasan, Anurag Sharma, Wong Fong Dong Nicholas:
Multi-objective siting and sizing of E charging stations in the distribution system. ISGT Asia 2015: 1-6 - 2013
- [j1]Deepak Sharma, Anupam Trivedi, Dipti Srinivasan, Thillainathan Logenthiran:
Multi-agent modeling for solving profit based unit commitment problem. Appl. Soft Comput. 13(8): 3751-3761 (2013) - 2012
- [c3]Anupam Trivedi, Deepak Sharma, Dipti Srinivasan:
Multi-objectivization of short-term unit commitment under uncertainty using evolutionary algorithm. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [c2]Anupam Trivedi, Naran M. Pindoriya, Dipti Srinivasan, Deepak Sharma:
Improved multi-objective evolutionary algorithm for day-ahead thermal generation scheduling. IEEE Congress on Evolutionary Computation 2011: 2170-2177 - [c1]Deepak Sharma, Dipti Srinivasan, Anupam Trivedi:
Multi-agent approach for profit based unit commitment. IEEE Congress on Evolutionary Computation 2011: 2527-2533
Coauthor Index
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last updated on 2024-12-02 22:26 CET by the dblp team
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