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Multiobjective Discrete Differential Evolution for Service Restoration in Energy Distribution Systems.

, , and . GECCO (Companion), page 1475-1476. ACM, (2016)

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Multi-objective Evolutionary Algorithm with Discrete Differential Mutation Operator for Service Restoration in Large-Scale Distribution Systems., , , , , and . EMO (2), volume 9019 of Lecture Notes in Computer Science, page 498-513. Springer, (2015)Smooth perturbation on a classical energy function for lossy power system stability analysis., , , and . IEEE Trans. Circuits Syst. I Regul. Pap., 52-I (1): 222-229 (2005)Combining subpopulation tables, non-dominated solutions and Strength Pareto of MOEAs to treat service restoration problem in large-scale distribution systems., , , , and . IECON, page 1986-1991. IEEE, (2013)Multiobjective Discrete Differential Evolution for Service Restoration in Energy Distribution Systems., , and . GECCO (Companion), page 1475-1476. ACM, (2016)Towards the improvement of multi-objective evolutionary algorithms for service restoration., , and . ISGT, page 1-5. IEEE, (2017)Sublinear evaluation of complex networks for extensive exploration of configurations for critical scenarios and decision making., , , and . CSCI, page 431-436. IEEE, (2021)Multi-Objective Evolutionary Algorithm with Node-Depth Encoding and Strength Pareto for Service Restoration in Large-Scale Distribution Systems., , , , and . EMO, volume 7811 of Lecture Notes in Computer Science, page 771-786. Springer, (2013)