Results 11 to 20 of about 610,742 (235)
Distributed Interval Optimization Over Time-Varying Networks: A Numerical Programming Perspective
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
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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QGOpt: Riemannian optimization for quantum technologies
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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Certificates of infeasibility via nonsmooth optimization [PDF]
An important aspect in the solution process of constraint satisfaction problems is to identify exclusion boxes which are boxes that do not contain feasible points.
Fendl, Hannes +2 more
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Evolutionary approach for dynamic constrained optimization problems
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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Stock Portfolio-Optimization Model by Mean-Semi-Variance Approach Using of Firefly Algorithm and Imperialist Competitive Algorithm [PDF]
Selecting approaches with appropriate accuracy and suitable speed for the purpose of making decision is one of the managers’ challenges. Also investing decision is one of the main decisions of managers and it can be referred to securities transaction in ...
Hassan Heidari, Laya Neshatizadeh
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Easy Particle Swarm Optimization for Nonlinear Constrained Optimization Problems
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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Convex Duality in Constrained Portfolio Optimization [PDF]
We study the stochastic control problem of maximizing expected utility from terminal wealth and/or consumption, when the portfolio is constrained to take values in a given closed, convex subset of R^d.
Cvitanić, Jakša, Karatzas, Ioannis
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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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New Initial Parameter for the Constrained Optimization Method [PDF]
In this paper, we have investigated a new initial parameter in the nonlinear constrained optimization method. The aim of this new method is to make a balance between interior and exterior method for constrained optimization.
Abbas Al-Bayati, Ban Mitras
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