Write a matlab code based on the situation below

3.3. Establishment of Teaching and Learning Behavior Model In educational activities, the teacher group transmits knowledge to the student group. The student group's acceptance of knowledge varies due to individual differences. In order to measure the student's acceptance of knowledge, test scores are often used as a reference indicator, so in teaching activities, teachers are committed to improving students' academic performance through teaching methods. Students will exchange learning with teachers and other students in order to improve their own scores, thereby realizing class groups optimization Under normal circumstances, the optimization problem can be described as follows: D-1 Min f (x),X = (x=x2....XD) --SE (1,0.). (1) = 0 .* *2.D Among them, X, = (xy, X....XD) is the ih D-dimensional decision vector, i= 1,2....NP. NP is the population size, f(x) is the fitness value function, Sis the decision space (also known as the search space), D is the dimension, U, and I are the upper and lower bounds of the jih dimension variable. The class can be expressed as follows: x, f(x) X1.1 X2 (x) ) *21 22 x2) (2) XNP f(XP) ( *121*322 *** *xPD lx Among them. X = (x},43 ... XD) represents the ath student; there are NP students in the class, f(x) represents the student's performance, if there are multiple objective functions, then one-objective function represents a subject In the teaching stage, teachers impart knowledge to students through teaching activities, and students acquire knowledge from teachers through lectures to improve their grades. Assuming that in the kth iteration, for an individual student X, let me be the average score of all students and be the teacher, then, NP-1 M = (3) NP Ti = min f (x) i = 0, 1, 2...,NP-1). Teachers teach knowledge based on their average grades and their own gap. The gap is given by the following formula: Difference Mean; = (M4-T). (5) Among them, skrand (0.1). T, is the teaching factor. In the teaching stage, the update 1 NP-1 NP-1 2.1 10 =0 3=0 Among them, rk rand (0,1), Ti is the teaching factor. In the teaching stage, the update method of individual students is as follows: Xnew = Xold + Difference Mean;-- Among them, Xold is the individual before the update, and Xnew is the individual after the update. If Xnew is better than Xold, Xnew is used instead of Xold: otherwise, Xold remains unchanged. The learning stage is based on the principle that students interact and complement each other after listening to the teacher's teaching, so that students can learn from other students to improve their grades. For each student, randomly we select another student to learn and improve from that student. The update method is as follows. For student X, we randomly select a student X;; if f(x)