Hybrid PSO-α BB Global Optimisation for C² Box-Constrained Multimodal NLPs
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2021.3138130
Abstract: $\alpha $ BB is an elegant deterministic branch and bound global optimisation that guarantees global optimum convergence with minimal parameter tuning. However, the method suffers from a slow convergence speed calling for computational improvements in… read more here.
Keywords: box constrained; tex math; optimisation; inline formula ... See more keywords
Robust solutions to box-constrained stochastic linear variational inequality problem
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DOI: 10.1186/s13660-017-1529-2
Abstract: We present a new method for solving the box-constrained stochastic linear variational inequality problem with three special types of uncertainty sets. Most previous methods, such as the expected value and expected residual minimization, need the… read more here.
Keywords: stochastic linear; linear variational; box constrained; constrained stochastic ... See more keywords