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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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Parameter identification of a nonlinear model using an improved version of simulated annealing
International Journal of Distributed Sensor Networks, 2019 This article aims to employ an improved simulated annealing algorithm to accurately and efficiently identify parameters of a nonlinear model which describes the nonlinear vortex-induced vertical force.
Xiaoxia Tian +4 more
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Portfolio optimization with simulated annealing algorithm [PDF]
تحقیقات مالی, 2015 The Markowitz issue of optimization can’t be solved by precise mathematical methods such as second order schematization, when real world condition and limitations are considered.
Saeid Qodsi, Reza Tehrani, Mahdi Bashiri
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Jurnal Sistem dan Manajemen Industri, 2020 This study aims to find a set of vehicles routes with the minimum total transportation time for pharmaceutical distribution at PT. XYZ in West Jakarta. The problem is modeled as the capacitated vehicle routing problem (CVRP).
Anak Agung Ngurah Perwira Redi +6 more
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Performance and parameterization of the algorithm Simplified Generalized Simulated Annealing
Genetics and Molecular Biology, 2004 The main goal of this study is to find the most effective set of parameters for the Simplified Generalized Simulated Annealing algorithm, SGSA, when applied to distinct cost function as well as to find a possible correlation between the values of these ...
Alcino Dall'Igna Júnior +3 more
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Solving ill-conditioned linear equations using simulated annealing method [PDF]
Journal of Hyperstructures, 2018 The purpose of this paper is to using the Simulated Annealing method to solving a linear equations system which have an ill-conditioned coefficients matrix. A linear equation system is called ill-conditioned if its condition number be large.
Mojtaba Moradi
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On Logarithmic Simulated Annealing [PDF]
, 2000 We perform a convergence analysis of simulated annealing for the special case of logarithmic cooling schedules. For this class of simulated annealing algorithms, B. HAJEK proved that the convergence to optimum solutions requires the lower bound Γ/ln (k + 2) on the cooling schedule, where k is the number of transitions and Γ denotes the maximum value of
Andreas Alexander Albrecht +1 more
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Multiparameter Optimization for Electromagnetic Inversion Problem
Advanced Electromagnetics, 2017 Electromagnetic (EM) methods have been extensively used in geophysical investigations such as mineral and hydrocarbon exploration as well as in geological mapping and structural studies.
M. Elkattan, A. Kamel
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