Results 11 to 20 of about 1,210,000 (252)
Derivation of near-optimal pump schedules for water distribution by simulated annealing [PDF]
, 2004 The scheduling of pumps for clean water distribution is a partially discrete non-linear problem with many variables. The scheduling method described in this paper typically produces costs within 1% of a linear program-based solution, and can incorporate ...
Powell, R S, McCormick, G
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Simulated annealing for earthquake location
地震科学进展, 2021 Earthquake location is one of the most basic tasks of seismology research such as earthquake monitoring and earthquake prediction. Identification of earthquake location with high efficiency and accuracy is of great significance to the development of ...
Xiaohan Li, Guangke Li, Dawei Jiao
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Quantum Simulated Annealing Algorithm [PDF]
Engineering and Technology Journal, 2010 Simulated annealing (SA) has been considered as a good tool for searchand optimization problems which represent the abstraction of obtaining thecrystalline structure through a physical process. This algorithm works sequentiallythat the current state will
Rana Fareed Ghani
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JEMMME (Journal of Energy, Mechanical, Material, and Manufacturing Engineering), 2023 Simulated annealing is an optimization method adapted from the annealing process. The optimization process using simulated annealing method is done by mapping the elements of physical coolant process onto the elements of optimization problem. This method
Yosua Heru Irawan, Po Ting Lin
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Discover Internet of Things, 2023 The multi-objective grasshopper optimization algorithm (MOGOA) is a relatively new algorithm inspired by the collective behavior of grasshoppers, which aims to solve multi-objective optimization problems in IoT applications.
Faria Sajjad +8 more
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Strategic Portfolio Optimization Using Simulated, Digital, and Quantum Annealing
Applied Sciences, 2022 In this work, we introduce a new workflow to solve portfolio optimization problems on annealing platforms. We combine a classical preprocessing step with a modified unconstrained binary optimization (QUBO) model and evaluate it using simulated annealing (
Jonas Lang +2 more
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IEEE Access, 2023 Simulated Quantum Annealing (SQA) is a heuristic algorithm which can solve Quadratic Unconstrained Binary Optimization (QUBO) problems by emulating the exploration of the solution space done by a quantum annealer.
Deborah Volpe +3 more
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Stochastic Simulated Annealing Algorithms using Different Annealing Schedules: An Analytical Approach [PDF]
Journal of the ACS Advances in Computer Science, 2010 Simulated Annealing is one of the most important meta-heuristics or generalpurposealgorithms of combinatorial optimization, due to its convergence towardshigh quality solutions.
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Simulated Annealing with Exploratory Sensing for Global Optimization
Algorithms, 2020 Simulated annealing is a well-known search algorithm used with success history in many search problems. However, the random walk of the simulated annealing does not benefit from the memory of visited states, causing excessive random search with no ...
Majid Almarashi +3 more
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Revista Árvore, 2004 Os objetivos deste trabalho foram desenvolver e testar a metaheurística SA para solução de problemas de gerenciamento florestal com restrições de integridade.
Flávio Lopes Rodrigues +4 more
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