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Global Optimization in the COCONUT Project

2004
In this article, a solver platform for global optimization is presented, as it is developed in the COCONUT project. After a short introduction, a short description is given of the basic algorithmic concept and of all relevant components, the strategy engine, inference engines, and the remaining modules. A compact description of the search graph and its
openaire   +2 more sources

Global optimization

Optimization Methods and Software, 2009
openaire   +1 more source

A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization—Part I

IEEE Transactions on Evolutionary Computation, 2022
Xin Yao   +2 more
exaly  

A Collective Neurodynamic Approach to Constrained Global Optimization

IEEE Transactions on Neural Networks and Learning Systems, 2017
Jun Wang, Jianchao Fan, Zheng Yan
exaly  

Application of Bayesian approach to numerical methods of global and stochastic optimization

Journal of Global Optimization, 1994
Jonas Mockus, Mockus Jonas
exaly  

Global optimization of statistical functions with simulated annealing

Journal of Econometrics, 1994
Gary Ferrier, William L Goffe
exaly  

Differential evolution as the global optimization technique and its application to structural optimization

Applied Soft Computing Journal, 2011
Koetsu Yamazaki, Satoshi Kitayama
exaly  

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