Parallel Simulated Annealing
Implementation of Genetic Algorithms and Parallel Simulated Annealing in OCEON-P
... Nuclear fuel management involves making decisions to determine the number of fresh assemblies to be inserted at the beginning of each cycle, the enrichment of these assemblies, as well as where these assemblies are to be ...
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Boiling Water Reactor In-Core Fuel Management through Parallel Simulated Annealing in FORMOSA-B
... power is the synchronous MMC PSA method, using either periodic or dynamic exchange schemes, whereby at fixed or computed intervals, all processes compare the current solutions, and move forward using the best solution ...
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A Distributed Simulated Annealing framework for Engineering Optimization
... The simulated annealing process consists of a sequence of transitions from one solution (state) to another based on a ...Sequential Simulated Annealing (SSA) algorithm may be viewed as a ...
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A new multi-mode and multi-product hub covering problem: A priority M/M/c queue approach
... This paper studied the capacitated multi-mode p-hub covering problem, in which the mode of transportation was a part of the decision-making process and for each potential hub, a set of capac- ity level and modes was ...
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A chaotic simulated annealing and particle swarm improved artificial immune algorithm for flexible job shop scheduling problem
... 2.4.2.1 Initial temperature setting The temperature initial value is an important influence parameter of the global search performance of the simulated annealing al- gorithm. The higher the initial ...
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Design and Comparison of Simulated Annealing Algorithm and GRASP to Minimize Makespan in Single Machine Scheduling with Unrelated Parallel Machines
... an approximation algorithm that are both based on sur- rogate relaxation and duality to solve this NP hard prob- lem. The idea behind surrogate relaxation is to replace a set of nasty (complex) constraints with a single ...
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Simulated Annealing: An Experimental Application on Pairwise Testing
... II. META-HEURISTIC ALGORTHMS Often in computer science and mathematical optimization, finding the global optimum of a particular set or a function is a difficult and computationally hard problem to solve for. The ...
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Generic Algorithm Implementation of Approximation Algorithm using Simulated Annealing (SA)
... Simulated Annealing is a local search method based on local optimization. In this method each trial solution in the solution space has a cost, and the objective is to find a feasible solution of least cost. ...
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A simulated annealing based genetic local search algorithm for multi objective multicast routing problems
... the simulated annealing based multi-objective algorithm named EMOSA in (Xu and Qu 2011) for sovling the multi-objective MRPs with only four objectives ...
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A List Simulated Annealing Algorithm for Task Scheduling on Network-on-Chip
... [16] R. T. Marler and J. S. Arora, "Survey of multi-objective optimization methods for engineering," Structural and multidisciplinary optimization, vol. 26, pp. 369-395, 2004. [17] H. Orsila, E. Salminen, and T. ...
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Massively parallel quantization implementation using simulated annealing
... 4.4 Dependency of the number of cycles on the operand width for the RTS(Mult) and RTS(Div) instructions. 39 4.5 Dependency of the number of cycles on the operand width for the remote RTS(Assign) instruction. 39 5.1 ...
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Simulated Annealing in Multifactor Equity Portfolio Management
... Abstract—Building a multifactor excess return model to select portfolio stocks has become a widely used tool for portfolio management. The decision to include return factors in such a model varies widely from ...
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Simulated Annealing Fuzzy Clustering in Cancer Diagnosis
... first simulated annealing algorithm was proposed by Metropolis et ...introduce simulated annealing to optimisation problems in 1982 ...then, simulated annealing has been widely ...
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Optimal sampling for simulated annealing under noise
... a Simulated Annealing variant for optimization problems in which the solution quality can only be estimated by sampling from a random ...proposed Simulated Annealing ...
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Application of Simulated Annealing in Flow Shop Scheduling
... which simulated annealing is supposed to give a good solution is due to the fact that it also considers inferior solutions (of course, with a certain acceptance criterion) in search of a good ...
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Simulated annealing on uncorrelated energy landscapes
... However, even uncorrelated functions possess a certain combinatorial structure regarding optimization For instance, as pointed out in [3], fitter local maxima tend to have larger basins [r] ...
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Disease Prediction with Simulated Annealing
... This paper analysed simulated annealing method for feature selection that are suggested by many investigates. Accuracy is most important in the field of medical diagnosis to diagnose the patient’s disease. ...
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Simulated Annealing Algorithm to Minimize Makespanin Single Machine Scheduling Problem withUniform Parallel Machines
... vestigated the makespan minimization problem on uni- form parallel machines in the presence of release times. They developed a heuristic for this NP-hard problem and derived a tight worst-case ratio bound for this ...
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A Mushy State Simulated Annealing
... Simulated Annealing (SA) is one of the earliest methods for derivative-free optimization such as Tabu Search (TS) [1]. Although it was introduced first to solve combinatorial discrete problems [2], it has ...
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