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An effective teaching-learning-based cuckoo search algorithm for parameter optimization problems in structure designing and machining processes.

, , and . Appl. Soft Comput., (2015)

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An effective cellular particle swarm optimization for parameters optimization of a multi-pass milling process., , and . Appl. Soft Comput., 12 (11): 3490-3499 (2012)An effective teaching-learning-based cuckoo search algorithm for parameter optimization problems in structure designing and machining processes., , and . Appl. Soft Comput., (2015)A new hybrid algorithm for unconstrained optimisation problems., , and . Int. J. Comput. Appl. Technol., 46 (3): 187-194 (2013)A Sequential Sampling Algorithm for Multistage Static Coverage Problems., , , and . J. Comput. Inf. Sci. Eng., (2018)Chaotic Teaching-Learning-Based Optimization with Lévy Flight for Global Numerical Optimization., , , and . Comput. Intell. Neurosci., (2016)ε constrained differential evolution with pre-estimated comparison using gradient-based approximation for constrained optimization problems., , , , and . Expert Syst. Appl., (2016)Parametric design for human body modeling by wireframe-assisted deep learning., , and . Comput. Aided Des., (2019)Segmentation-Based Wireframe Generation for Parametric Modeling of Human Body Shapes., and . J. Comput. Inf. Sci. Eng., (2021)Robust Optimization of Supply Chain in the Economic Crisis., , , and . DET, volume 66 of Advances in Intelligent and Soft Computing, page 1291-1300. Springer, (2009)A novel algorithm for economic load dispatch of power systems., , and . Neurocomputing, (2016)