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Generalized Simulated Annealing [PDF]
Physica A: Statistical Mechanics and its Applications, 1995 We propose a new stochastic algorithm (generalized simulated annealing) for computationally finding the global minimum of a given (not necessarily convex) energy/cost function defined in a continuous D-dimensional space.
Alemany +29 more
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Computers and Mathematics With Applications, 1997 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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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CoRR, 2022 Simulated annealing (SA) is a stochastic global optimisation technique applicable to a wide range of discrete and continuous variable problems. Despite its simplicity, the development of an effective SA optimiser for a given problem hinges on a handful of carefully handpicked components; namely, neighbour proposal distribution and temperature annealing
Alvaro H. C. Correia +2 more
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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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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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