Results 1 to 10 of about 141,498 (264)
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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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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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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Evolutionary approach for dynamic constrained optimization problems
Alexandria Engineering Journal, 2023 The number of research works on dynamic constrained optimization problems has been increasing rapidly over the past two decades. In this domain, many real-life decision problems need to be solved repeatedly with changing data and parameters.
Noha Hamza +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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Easy Particle Swarm Optimization for Nonlinear Constrained Optimization Problems
IEEE Access, 2021 Particle swarm optimization (PSO) is a popular stochastic approach for solving practical optimal problems from industries due to its effective performance and few hyperparameters.
Hsuan-Yu Tseng +3 more
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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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Quantum-Inspired Hierarchy for Rank-Constrained Optimization
PRX Quantum, 2022 Many problems in information theory can be reduced to optimizations over matrices, where the rank of the matrices is constrained. We establish a link between rank-constrained optimization and the theory of quantum entanglement.
Xiao-Dong Yu +3 more
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