Abstract
By combining the genetic algorithm (GA) with the artificial neural network (ANN), this chapter establish two hybrid optimization algorithms to solve the nested optimization problem after transformation, based on which two efficient nonlinear interval optimization methods are developed.
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Jiang, C., Han, X., Xie, H. (2021). Interval Optimization Based on Hybrid Optimization Algorithm. In: Nonlinear Interval Optimization for Uncertain Problems. Springer Tracts in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-8546-3_4
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DOI: https://doi.org/10.1007/978-981-15-8546-3_4
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