Results 21 to 30 of about 161,542 (309)
An Improved Genetic Algorithm for Constrained Optimization Problems
IEEE Access, 2023 The mathematical form of many optimization problems in engineering is constrained optimization problems. In this paper, an improved genetic algorithm based on two-direction crossover and grouped mutation is proposed to solve constrained optimization ...
Fulin Wang, Gang Xu, Mo Wang
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Transliteration as constrained optimization [PDF]
Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08, 2008 This paper introduces a new method for identifying named-entity (NE) transliterations in bilingual corpora. Recent works have shown the advantage of discriminative approaches to transliteration: given two strings (ws, wt) in the source and target language, a classifier is trained to determine if wt is the transliteration of ws.
Dan Goldwasser, Dan Roth 0001
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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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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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Distributed Interval Optimization Over Time-Varying Networks: A Numerical Programming Perspective
IEEE Access, 2023 In this study, we investigate a distributed interval optimization problem involving agents linked by a time-varying network, optimizing interval objective functions under global convex constraints.
Yinghui Wang +3 more
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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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Constrained Optimization in the Presence of Noise
SIAM Journal on Optimization, 2023 The problem of interest is the minimization of a nonlinear function subject to nonlinear equality constraints using a sequential quadratic programming (SQP) method. The minimization must be performed while observing only noisy evaluations of the objective and constraint functions.
Figen Öztoprak +2 more
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QGOpt: Riemannian optimization for quantum technologies
SciPost Physics, 2021 Many theoretical problems in quantum technology can be formulated and addressed as constrained optimization problems. The most common quantum mechanical constraints such as, e.g., orthogonality of isometric and unitary matrices, CPTP property of ...
Ilia A. Luchnikov, Alexander Ryzhov, Sergey N. Filippov, Henni Ouerdane
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Constrained Optimization by the α Constrained Particle Swarm Optimizer
Journal of Advanced Computational Intelligence and Intelligent Informatics, 2005 In this study, α constrained particle swarm optimizer αPSO, which is the combination of the α constrained method and particle swarm optimization, is proposed to solve constrained optimization problems. The α constrained methods can convert algorithms for unconstrained problems to algorithms for constrained problems using the α level comparison, which ...
Tetsuyuki Takahama, Setsuko Sakai
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Equilibrium constrained optimization problems [PDF]
European Journal of Operational Research, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
S. Ilker Birbil +3 more
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