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Numerical Methods for Unconstrained Optimization
2017Unconstrained optimization is the search for the maximum or minimum of a function with no restriction on the values of the variables. At the same time, it forms the basis for methods of constrained optimization in the next chapter. Zero-order methods use only function values, progress made in the previous step pointing the way to the next step.
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An efficient and robust grey wolf optimizer algorithm for large-scale numerical optimization
Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2019Wen Long +3 more
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Adaptive guided differential evolution algorithm with novel mutation for numerical optimization
International Journal of Machine Learning and Cybernetics, 2017A. W. Mohamed, Ali Khater Mohamed
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Hybridizing cuckoo search algorithm with bat algorithm for global numerical optimization
Journal of Supercomputing, 2018Mohammad Shehab +3 more
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An exploration-enhanced grey wolf optimizer to solve high-dimensional numerical optimization
Engineering applications of artificial intelligence, 2018Wen Long +3 more
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Neural computing & applications (Print), 2018
Waheed Ghanem, A. Jantan
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Waheed Ghanem, A. Jantan
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An enhanced Bat algorithm with mutation operator for numerical optimization problems
Neural computing & applications (Print), 2017Waheed Ghanem, A. Jantan
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