A new individualized instruction mechanism combined with the non-dominated sorting concept and the teaching-learning process of TLBO.
Basic concepts of instruction mechanism, the implementation procedures and their functions in INM-TLBO.
INM-TLBO has evaluated on three test problem sets (two or three objectives). The numerical results are compared with those of other state-of-the-art algorithms and show that INM-TLBO has good convergence and high robustness on these test problems.
The role of individualized instruction mechanism is demonstrated through comparison with other two modified TLBO algorithms.
More detail can be seen in our paper: http://www.sciencedirect.com/science/article/pii/S1568494617305380
The coding of the non-dominated sorting framework was inspired by the source code of NGPM: http://cn.mathworks.com/matlabcentral/fileexchange/31166-ngpm-a-nsga-INM-program-in-matlab-v1-4
引用格式
Yu Dong (2024). Multi-Objective Individualized-Instruction Teaching-Learning-Based Optimization Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/64808-multi-objective-individualized-instruction-teaching-learning-based-optimization-algorithm), MATLAB Central File Exchange. 检索来源 .
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1.0.0.0 |