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A Mizuno-Todd-Ye predictor-corrector infeasible-interior-point method for symmetric optimization with the arc-search strategy [PDF]
Journal of Inequalities and Applications, 2017 In this paper, we propose a Mizuno-Todd-Ye predictor-corrector infeasible-interior-point method for symmetric optimization using the arc-search strategy.
Ximei Yang, Yinkui Zhang
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Journal of Microwaves, Optoelectronics and Electromagnetic Applications, 2021 The optimization of three-dimensional device has widely been explored and designated as computational challenge in photonic device design. In this context, this work presents a novel multi-symmetric level (MSL) optimization procedure based on Genetic ...
Marcos S. Gonçalves +3 more
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Mathematics, 2021 This paper is devoted to derive optimality conditions and duality theorems for interval-valued optimization problems based on gH-symmetrically derivative.
Yating Guo +4 more
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Nihon Kikai Gakkai ronbunshu, 2021 This paper provides a vector-valued level set-based topology optimization method for multiple materials. The proposed method is characterized by a perfectly symmetric representation of multi-material by a vector valued level set function, which lowers ...
Masaki NODA +2 more
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A novel heterogenous ensemble theory for symmetric 5G cells segmentation: Intelligent RAN analytics
International Journal of Intelligent Networks, 2023 MNOs are investing more in 5G, rolling out sites in urban and specific rural areas. Meanwhile, it remains imperative to consistently maintain the network performance above a certain threshold for optimal user experience.
Jean Nestor M. Dahj +2 more
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An Improved Unordered Pair Bat Algorithm for Solving the Symmetrical Traveling Salesman Problem
Foundations of Computing and Decision Sciences, 2022 Bat algorithm is an effective swarm intelligence optimization algorithm which is widely used to solve continuous optimization problems. But it still has some limitations in search process and can’t solve discrete optimization problems directly. Therefore,
Nan Zhang, Zhimin Lv, Shen Qiao, Ting Li
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Controlled precision QUBO-based algorithm to compute eigenvectors of symmetric matrices.
PLoS ONE, 2022 We describe an algorithm to compute the extremal eigenvalues and corresponding eigenvectors of a symmetric matrix which is based on solving a sequence of Quadratic Binary Optimization problems.
Benjamin Krakoff +2 more
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A New Symmetric Rank One Algorithm for Unconstrained Optimization [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2011 In this paper, a new symmetric rank one for unconstrained optimization problems is presented. This new algorithm is used to solve symmetric and positive definite matrix.
Abbas Al-Bayati, Salah Shareef
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PLoS ONE, 2023 To address the problems of low accuracy and slow convergence of traditional multilevel image segmentation methods, a symmetric cross-entropy multilevel thresholding image segmentation method (MSIPOA) with multi-strategy improved pelican optimization ...
Chuang Zhang +4 more
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Symmetric Nonnegative Matrix Factorization Based on Box-Constrained Half-Quadratic Optimization
IEEE Access, 2020 Nonnegative Matrix Factorization (NMF) based on half-quadratic (HQ) functions was proven effective and robust when dealing with data contaminated by continuous occlusion according to the half-quadratic optimization theory.
Bo-Wei Chen
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