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Numerical Comparisons of Linear Power Flow Approximations: Optimality, Feasibility, and Computation Time.

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Learning to Solve Optimization Problems With Hard Linear Constraints., , and . IEEE Access, (2023)The Binary Algorithm for finding the best weak-constraints in contradictory weak-constrained optimization problems., and . ICNC, page 475-479. IEEE, (2014)Extreme learning machine for regression based on condition number and variance decomposition ratio., , and . ICMAI, page 42-45. ACM, (2018)A branching-cutting Cultural algorithm for weak-constraints optimization., , and . ICNC, page 3102-3105. IEEE, (2010)A Hybrid Immune Evolutionary Computation Based on Immunity and Clonal Selection for Concurrent Mapping and Localization., , , and . ICNC (3), volume 3612 of Lecture Notes in Computer Science, page 1308-1311. Springer, (2005)An improved adaptive differential evolution based on double populations for constrained optimization problems., , and . ICNC, page 1011-1015. IEEE, (2012)Toward Rapid, Optimal, and Feasible Power Dispatch through Generalized Neural Mapping., and . CoRR, (2023)Numerical Comparisons of Linear Power Flow Approximations: Optimality, Feasibility, and Computation Time., , , , , and . CoRR, (2022)Immune Algorithms for Multi-solution Based on Partition and Local Recombination.. ICNC (3), page 667-671. IEEE Computer Society, (2007)Learning to Solve Optimization Problems with Hard Linear Constraints., , and . CoRR, (2022)