Multi-Objective Individualized-Instruction Teaching-Learning-Based Optimization Algorithm

A new individualized instruction mechanism combined with the non-dominated sorting concept and TLBO.

 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