Mechanism kinematic link isomorphism identification method based on immunity genetic hybrid algorithm
A mechanism kinematic chain and hybrid algorithm technology, applied in the direction of calculation, gene model, special data processing application, etc., can solve the problems of high cost, long design cycle, low efficiency, etc., to speed up the convergence speed, overcome the slow convergence speed, ensure The effect of diversity
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[0020] The concrete process flow of algorithm of the present invention is described as follows:
[0021] Step 1: From the formula C=TAT T , transform T to randomly generate an initial population P(0) of size M;
[0022] Step 2: Calculate the objective function value and fitness of each individual, and store the local optimal solution of the individual with the greatest fitness in a dedicated variable;
[0023] Step 3: If it is the first generation population, go to step 5); otherwise, continue;
[0024] Step 4: Determine the applicability of each individual, and sort according to the size of the fitness; carry out the optimal preservation strategy, the method is as follows: judge whether the applicability of the optimal individual in P(t) is greater than the applicability of the optimal individual in the special variable If it is greater than, copy the best individual in the special variable to P(t), delete the worst individual among them and save the best individual in P(t)...
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