Results 41 to 50 of about 619,780 (278)
, 2018 In the article we present a general theory of augmented Lagrangian functions for cone constrained optimization problems that allows one to study almost all known augmented Lagrangians for cone constrained programs within a unified framework. We develop a
Dolgopolik, M. V.
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Atti della Accademia Peloritana dei Pericolanti : Classe di Scienze Fisiche, Matematiche e Naturali, 2020 This is a companion paper to "Ghost penalties in nonconvex constrained optimization: Diminishing stepsizes and iteration complexity" (to appear in Mathematics of Operations Research).
Francisco Facchinei +3 more
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Hybrid Stochastic Ranking for Constrained Optimization
IEEE Access, 2020 Teaching learning based optimization (TLBO) algorithm is a distinguished nature-inspired population-based meta-heuristic, which is basically designed for unconstrained optimization.
Muhammad Asif Jan +7 more
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Energies, 2022 This paper proposes a modified quasi-opposition-based grey wolf optimization (mQOGWO) method to solve complex constrained optimization problems. The effectiveness of mQOGWO is examined on (i) 23 mathematical benchmark functions with different dimensions ...
Salil Madhav Dubey +2 more
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Improved Whale Optimization Algorithm for Solving Constrained Optimization Problems
Discrete Dynamics in Nature and Society, 2021 In view of the shortcomings of the whale optimization algorithm (WOA), such as slow convergence speed, low accuracy, and easy to fall into local optimum, an improved whale optimization algorithm (IWOA) is proposed.
Gui-Ying Ning, Dun-Qian Cao
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Investigated Non-Conic Model for Constrained Optimization [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2008 In this search, we develop the nonlinear constrained optimization by investigation a new region of solution depending on extended conic model to non-conic model by using conjugate gradient method. The new method is too effective when compared with other
Eman Al-Haj Saeed, Huda Ahmed
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Energy Reports, 2022 This paper investigates energy management systems in micro-grid using an optimization-based approach, optimizing the operating cost related to the energy purchased from the utility grid, the operation cost of the energy storage system, and revenue from ...
Peter Anuoluwapo Gbadega, Yanxia Sun
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A penalty method for PDE-constrained optimization in inverse problems
, 2015 Many inverse and parameter estimation problems can be written as PDE-constrained optimization problems. The goal, then, is to infer the parameters, typically coefficients of the PDE, from partial measurements of the solutions of the PDE for several right-
Herrmann, Felix J., van Leeuwen, Tristan
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Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM
FEBS Letters, EarlyView.Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley +1 more source
Constrained optimization via quantum Zeno dynamics
Communications Physics, 2023 Constrained optimization problems are ubiquitous in science and industry. Quantum algorithms have shown promise in solving optimization problems, yet none of the current algorithms can effectively handle arbitrary constraints.
Dylan Herman +8 more
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