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Global_Optimization_For_Constrained_Nonlinear_Pro
In this thesis, we develop constrained simulated annealing (CSA), a global optimization algorithm that asymptotically converges to constrained global minima with probability one, for solving discrete constrained nonlinear programming problems
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Heuristic_Optimization_Methods_in_Econometrics.ra
A more demanding class of optimization problems stems from general maximum likelihood estimation. As long as the likelihood function can be considered as being globally convex, efficient numerical methods are available to solve the optimization problem.
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pso.zip
... . The
purpose of this work is to find out the advantages of application of the evolutionary computing
technique and Particle Swarm Optimization (PSO) in particular to the economic load dispatch
problem. Here, an attempt has been made to find out the ...
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NelderMid.rar
The Nelder–Mead method or downhill simplex method or amoeba method is a commonly used nonlinear optimization technique, which is a well-defined numerical method for twice differentiable and unimodal problems. However, the Nelder–Mead technique is only a ...
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