Results 31 to 40 of about 161,542 (309)
Approximate Inference and Constrained Optimization [PDF]
CoRR, 2003 Appears in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003)
Heskes, T., Albers, C.A., Kappen, H.J.
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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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Probability of improvement methods for constrained multi-objective optimization [PDF]
, 2008 This paper shows how the simultaneous consideration of multiple Kriging models can lead to useful metrics for the selection of design vectors in constrained multiobjective optimization.
G.I. Hawe +3 more
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Design of High-Performance Magnetorquer with Air Core for CubeSat [PDF]
Xibei Gongye Daxue Xuebao, 2018 To solve the problem that how to design a big magnetic moment, small size, light weight, low power consumption magnetorquer with air core under the constraint of limited volume and power in CubSate, multiobjective optimization design method is used ...
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ADMM for multiaffine constrained optimization [PDF]
Optimization Methods and Software, 2019 We expand the scope of the alternating direction method of multipliers (ADMM). Specifically, we show that ADMM, when employed to solve problems with multiaffine constraints that satisfy certain verifiable assumptions, converges to the set of constrained stationary points if the penalty parameter in the augmented Lagrangian is sufficiently large.
Wenbo Gao +2 more
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Constrained Consensus-Based Optimization
SIAM Journal on Optimization, 2023 In this work we are interested in the construction of numerical methods for high dimensional constrained nonlinear optimization problems by particle-based gradient-free techniques. A consensus-based optimization (CBO) approach combined with suitable penalization techniques is introduced for this purpose.
Giacomo Borghi +2 more
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Constrained Policy Optimization
CoRR, 2017 Accepted to ICML ...
Joshua Achiam +3 more
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Greedy sparsity-constrained optimization [PDF]
2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2011 Sparsity-constrained optimization has wide applicability in machine learning, statistics, and signal processing problems such as feature selection and compressive Sensing. A vast body of work has studied the sparsity-constrained optimization from theoretical, algorithmic, and application aspects in the context of sparse estimation in linear models ...
Sohail Bahmani +2 more
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Fast interior point solution of quadratic programming problems arising from PDE-constrained optimization [PDF]
, 2017 Interior point methods provide an attractive class of approaches for solving linear, quadratic and nonlinear programming problems, due to their excellent efficiency and wide applicability.
Gondzio, Jacek +4 more
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Advances in Mechanical Engineering, 2018 A hierarchical optimization strategy is proposed to optimally design constrained layer damping materials patched on the base plate for minimizing sound radiation power.
Dongdong Zhang, Tang Qi, Ling Zheng
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