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Article
Improved scatter search for the global optimization of computationally expensive dynamic models
A new algorithm for global optimization of costly nonlinear continuous problems is presented in this paper. The algorithm is based on the scatter search metaheuristic, which has recently proved to be efficient...
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Article
The GLOBAL optimization method revisited
The multistart clustering global optimization method called GLOBAL has been introduced in the 1980s for bound constrained global optimization problems with black-box type objective function. Since then the tec...
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Article
Scatter search for chemical and bio-process optimization
Scatter search is a population-based method that has recently been shown to yield promising outcomes for solving combinatorial and nonlinear optimization problems. Based on formulations originally proposed in ...