Quantum Algorithms for Mixed Binary Optimization Applied to Transaction Settlement
IEEE Transactions on Quantum Engineering, 2021 In this article, we extend variational quantum optimization algorithms for quadratic unconstrained binary optimization problems to the class of mixed binary optimization problems.
Lee Braine +3 more
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, 2023 The instances and codes used in the study titled "Routing and Wavelength Assignment with Protection: A Quadratic Unconstrained Binary Optimization Approach Enabled by Digital Annealer ...
Şeker, Oylum +2 more
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Practical Implementation of Unconstrained Optimization Methods Tested on Quadratic Functions [PDF]
, 2017 In this work we give a detailed look to the Practical implementation of unconstrained optimization tested on quadratic functions. Section (1) speak about the theory of optimization problems, introduce definitions and theorems of linear programming ...
El Siddieg, Awatif M. A.
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Approach to development of algorithms of Newtonian methods of unconstrained optimization, their software implementation and benchmarking [PDF]
Компьютерные исследования и моделирование, 2013 The approach to increase efficiency of Gill and Murray's algorithm of Newtonian methods of unconstrained optimization with step adjustment creation is offered, rests on Choleskys factorization.
Gennadiy Anatolievich Zelenkov +1 more
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Exploiting Hardware and Software Advances for Quadratic Models of Wind Farm Layout Optimization
IEEE Access, 2022 A key aspect of the design of a wind farm is the wind farm layout optimization (WFLO) problem: given a wind farm site and information about the wind patterns, the problem is to decide the location of individual wind turbines to maximize energy production
Arik Senderovich +3 more
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Physics-Inspired Optimization for Quadratic Unconstrained Problems Using a Digital Annealer
Frontiers in Physics, 2019 The Fujitsu Digital Annealer is designed to solve fully connected quadratic unconstrained binary optimization (QUBO) problems. It is implemented on application-specific CMOS hardware and currently solves problems of up to 1,024 variables.
Maliheh Aramon +7 more
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A New Spectral Conjugate Gradient method for solving unconstrained Optimization problems [PDF]
مجلة ابحاث كلية التربية الاساسية, 2022 The spectral conjugate gradient methods are fascinating, and it has been shown that they are useful for strictly convex quadratic reduction when used properly.
أسامة محمد طاهر ویس +2 more
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A METHOD FOR SOLVING THE PROCUREMENT OPTIMIZATION PROBLEM BASED ON INVERSE CALCULATIONS [PDF]
Proceedings on Engineering Sciences, 2020 The paper describes a method for solving the procurement optimization problem based on inverse calculations. The method involves solving the unconstrained optimization problem and adjusting the obtained values of arguments subject to the constraint ...
Ekaterina Gribanova
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Solving the Traveling Salesman Problem on the D-Wave Quantum Computer
Frontiers in Physics, 2021 The traveling salesman problem is a well-known NP-hard problem in combinatorial optimization. This paper shows how to solve it on an Ising Hamiltonian based quantum annealer by casting it as a quadratic unconstrained binary optimization (QUBO) problem ...
Siddharth Jain
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Power Network Optimization: A Quantum Approach
IEEE Access, 2023 Optimization of electricity surplus is a crucial element for transmission power networks since it leads to reducing costs as well as increasing efficiency across the network as a whole.
Giuseppe Colucci +2 more
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