A Negative Feedback Adaptive Ant Colony Algorithm Based Kinematic Chain Isomorphism Identification Method
A mechanism kinematic chain and ant colony algorithm technology, applied in computing, special data processing applications, instruments, etc., can solve problems such as easy to fall into local optimum, lack of initial pheromone, slow algorithm convergence, etc., to ensure global search ability, The effect of overcoming the low convergence speed and ensuring the convergence speed
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[0016] Such as figure 1 As shown, the process of solving the maximum structure code for the ant algorithm is:
[0017] 1) Parameter initialization. Let the time t=0 and the number of cycles be 0, set the maximum number of cycles N max , put m ants on n elements, let the initialization information τ of each edge (i, j) on the graph ij (t)=const, where const represents a constant, and the initial time Δτ ij (0)=0;
[0018] 2) Ant's taboo table index number k=1;
[0019] 3) The number of ants k=k+1;
[0020] 4) The individual ant selects the element j according to the probability calculated by the state transition probability formula and moves forward, j∈{C-tabu k}; among them, k=(1,2,...,m); tabu k (k=1,2,...,m) is used to record the current path of ant k, C represents the set of all paths, C-tabu k Indicates the set of paths that ant k can choose;
[0021] 5) Modify the taboo table pointer, that is, move the ant to a new element after selection, and move the element to...
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