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1. The code, data, scripts and config files are placed into their respective directories to help other researchers to reproduce the results. 2. Exp-1 : Convergence and Diversity comparision among TLBO, DE and SGA under benchmark functions 3.Exp-2 : Convergence and Diversity comparison between TLBO and DE under chaning landscape 4. Exp-3: Random immigrant inject into TLBO (continued..) References: 1. V. Rao, , V.J. Savsani, D.P. Vakharia, Teaching–Learning-Based Optimization: An optimization method for continuous non-linear large scale problems, 2.Helen G. Cobb, John J. Grefenstette, Genetic Algorithms for Tracking Changing Environments 3. The Bees Algorithm – A Novel Tool for Complex Optimisation Problems, D.T. Pham, A. Ghanbarzad eh, E. Koç, S. Otri , S. Rahim , M. Zaidi
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DTLBO - A population based optimizer for changing and deceptive envirnoment
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