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This is the 'Hybrid Constriction Ciefficient based particle Swarm Optimization and Gravitational Search Algorithm for Training Multi-Layer Perceptron (MLP)' Mathlab code . Citation Rather, S.A. and Bala, P.S. (2020), "A hybrid constriction coefficient-based particle swarm optimization and gravitational search algorithm for training multi-layer perceptron", International Journal of Intelligent Computing and Cybernetics, Vol. 13 No. 2, pp. 129-165. https://doi.org/10.1108/IJICC-09-2019-0105 Change 'Get_Functions_details.m' for your other classification and function approximation benchmarks. //// E_Mail: [email protected] \\\\ [![View CPSOGSA for MLP Training on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://www.mathworks.com/matlabcentral/fileexchange/77777-cpsogsa-for-mlp-training) functions: main.m : Main function for using CPSOGSA and othet Heuristic algorithm. GSA.m : Gravitational Search Algorithm. bbo.m :Biogeograpgy Based Optiumization DE.m: Differential Evolution CPSOGSA: Constriction Coefficient based particle swarm optimization and Gravitational Search Algorithm ACO.m: Ant Colony Optimization RouletteWheelSelection.m : finds optimal candidate solutions. initialization.m : initializes the position of agents in the search space, randomly. Gfield.m : calculates the accelaration of each agent in gravitational field. move.m : updates the velocity and position of agents. massCalculation.m : calculates the mass of each agent. Gconstant.m : calculates Gravitational constant. space_bound.m : checks the search space boundaries for agents. evaluateF.m : Evaluates the agents. My_sigmoid: It acts as fitness function for encoding searcher agents. my_simulate: This function provides the simulation of candidate solutions. Get_Functions_details.m : gives boundaries and dimension of search space for Classification and Function approximation benchmarks. Note: The file also includes four important and handly datasets from UCI Machile learning Repository. They are: a)Iris b)Heart c)Breast_Cancer, and d) Balloon Authors Social Media Link(s)/Accounts: 1) Google Scholar: https://scholar.google.co.in/citations?user=fBc0vbcAAAAJ&hl=en 2) GitHub: https://github.com/SajadAHMAD1 3) LinkedIn: https://www.linkedin.com/in/sajad-ahmad-rather-97a398110/ 4) Researchgate: https://www.researchgate.net/profile/Sajad_Rather5 5) Facebook: https://www.facebook.com/sajad.a.rather.54 6) Instagram: https://www.instagram.com/sajad_ahmad_rather123/ 7) Twitter: https://twitter.com/sajad_win8 8) Youtube: https://www.youtube.com/channel/UCAS0S-gPiR-Z3dUToVh6KfQ 9) Academia.edu: https://pondiuni-anthropology.academia.edu/SAJADRATHER 10) Mathworks: https://in.mathworks.com/matlabcentral/profile/authors/6240015-sajad-ahmad-rather 11) ORCiD: https://orcid.org/0000-0002-0351-7705
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