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A Hopfiled Neural Network Based on Penalty Function with Objective Parameters
2006This paper introduces a new Hopfiled neural network for nonlinear constrained optimization problem based on penalty function with objective parameters. The energy function for the neural network with its neural dynamics is defined, which differs from some known Hopfiled neural networks.
Zhiqing Meng +2 more
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Variational determination of penalty parameters in quantum annealing
Quantum Science and TechnologyAbstract Quantum annealing (QA) offers a promising approach for solving constrained combinatorial optimization on near-term quantum devices. It encodes solutions into the ground states of the Ising problem Hamiltonians through penalty terms and penalty parameters to enforce constraints.
Ji-Qian Qin, Yunlong Yu, Xiang-Bin Wang
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Use of Two Penalty Values in Multiobjective Evolutionary Algorithm Based on Decomposition
IEEE Transactions on Cybernetics, 2023Lie Meng Pang +2 more
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An adaptive fuzzy penalty method for constrained evolutionary optimization
Information Sciences, 2021Bing-Chuan Wang +2 more
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Exact Penalty Functions in Constrained Optimization
SIAM Journal on Control and Optimization, 1989G Di Pillo, L Grippo
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Iterative determination of parameters for an exact penalty function
2013http://archive.org/details ...
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The Parity Penalty in Life Course Perspective
American Sociological Review, 2014Anja-Kristin Abendroth +2 more
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Exact penalty functions in nonlinear programming
Mathematical Programming, 1979O L Mangasarian, Mangasarian O L
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