Results 1 to 10 of about 616,628 (303)
Porcellio scaber algorithm (PSA) for solving constrained optimization problems [PDF]
MATEC Web of Conferences, 2017 In this paper, we extend a bio-inspired algorithm called the porcellio scaber algorithm (PSA) to solve constrained optimization problems, including a constrained mixed discrete-continuous nonlinear optimization problem.
Zhang Yinyan, Li Shuai, Guo Hongliang
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Frontiers in Robotics and AI, 2021 This article provides a theory for provably safe and computationally efficient distributed constrained control, and describes an application to a swarm of nano-quadrotors with limited on-board hardware and subject to multiple state and input constraints.
Bryan Convens +6 more
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Dynamic Constrained Boundary Method for Constrained Multi-Objective Optimization
Mathematics, 2022 When solving complex constrained problems, how to efficiently utilize promising infeasible solutions is an essential issue because these promising infeasible solutions can significantly improve the diversity of algorithms.
Qiuzhen Wang +6 more
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Constrained Optimal Transport [PDF]
Archive for Rational Mechanics and Analysis, 2017 The classical duality theory of Kantorovich and Kellerer for the classical optimal transport is generalized to an abstract framework and a characterization of the dual elements is provided. This abstract generalization is set in a Banach lattice $\cal{X}$ with a order unit.
Ibrahim Ekren, H. Mete Soner
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Optimal Solvers for PDE-Constrained Optimization [PDF]
SIAM Journal on Scientific Computing, 2010 Optimization problems with constraints which require the solution of a partial differential equation arise widely in many areas of the sciences and engineering, in particular in problems of design. The solution of such PDE-constrained optimization problems is usually a major computational task.
Rees, Tyrone, Thorne, HS, Wathen, AJ
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On Some Constrained Optimization Problems
Mathematics, 2022 By using appropriate methods of variational analysis, the necessary conditions of optimality are established for new classes of constrained optimization problems involving multiple and curvilinear integral functionals.
Savin Treanţă +3 more
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International Journal of Computational Intelligence Systems, 2022 The constrained optimization problems can be transformed into multi-objective optimization problems, and thus can be optimized by multi-objective evolutionary algorithms.
Xinsheng Lai
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Some results on the filter method for nonlinear complementary problems
Journal of Inequalities and Applications, 2021 Recent studies show that the filter method has good numerical performance for nonlinear complementary problems (NCPs). Their approach is to reformulate an NCP as a constrained optimization solved by filter algorithms.
Jueyu Wang, Chao Gu, Guoqiang Wang
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Clustering-Based Monarch Butterfly Optimization for Constrained Optimization
International Journal of Computational Intelligence Systems, 2020 Monarch butterfly optimization (MBO) algorithm is a newly-developed metaheuristic approach that has shown striking performance on several benchmark problems.
Sibo Huang +3 more
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Data-driven Harris Hawks constrained optimization for computationally expensive constrained problems
Complex & Intelligent Systems, 2022 Aiming at the constrained optimization problem where function evaluation is time-consuming, this paper proposed a novel algorithm called data-driven Harris Hawks constrained optimization (DHHCO).
Chongbo Fu +3 more
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