Research Article
A Modified Sine-Cosine Algorithm Based on Neighborhood Search and Greedy Levy Mutation
Algorithm 1
The pseudocode of the basic sine-cosine algorithm.
Set the initial parameters, including the total population size n, the maximum number of | generations N_iter, control parameter a et al. | Generate a population . | Calculate the fitness and find the best solution of the population. | for t=1: N_iter | | for i=1:n | for j=1:d | | | Generate a rand . | if | | else | | end if | end for | Cross-border processing for . | Calculate the fitness | if | | | end if | end for | end for | Output the best solution |
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