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A Decentralized Multi-Agent Approach for Service Restoration in Uncertain Environment.

, , and . IEEE Trans. Smart Grid, 9 (4): 3394-3405 (2018)

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Dynamic Normalization in MOEA/D for Multiobjective optimization., , , and . CEC, page 1-8. IEEE, (2020)A Decentralized Multi-Agent Approach for Service Restoration in Uncertain Environment., , and . IEEE Trans. Smart Grid, 9 (4): 3394-3405 (2018)Empirical Investigations Into the Composite Differential Evolution on CEC 2017 Constrained Optimization Problems., and . SMC, page 280-285. IEEE, (2018)Enhanced Multiobjective Evolutionary Algorithm Based on Decomposition for Solving the Unit Commitment Problem., , , , and . IEEE Trans. Ind. Informatics, 11 (6): 1346-1357 (2015)A genetic algorithm - differential evolution based hybrid framework: Case study on unit commitment scheduling problem., , , and . Inf. Sci., (2016)Optimal Planning of Dual-Zero Microgrid on an Island Toward Net-Zero Carbon Emission., , , , and . IEEE Trans. Smart Grid, 15 (2): 1243-1257 (2024)An EV Charging Scheduling Methodology to Reduce Demand and Energy Charges in Industrial and Commercial Sites., , and . ISGT Asia, page 285-289. IEEE, (2022)Extending unified differential evolution with a new ensemble of constraint handling techniques., , , and . SSCI, page 1-8. IEEE, (2017)Grid ancillary service using distributed computational intelligence based control of renewables and storage systems in a distribution network., , , and . CEC, page 1412-1419. IEEE, (2017)A MOEA/D with Non-uniform Weight Vector Distribution Strategy for Solving the Unit Commitment Problem in Uncertain Environment., , , and . ACALCI, volume 10142 of Lecture Notes in Computer Science, page 378-390. (2017)