WebJul 10, 2024 · The results show that with functions representing relatively flat shape, the HC and the SA are faster to find the global optimum than the GA. Tested with multimodal functions such as Shubert function, however, it is found that the HC and SA failed to find the global optimum although the SA has better possibilities to jump out the local extremum … WebOne hundred sets of simulations are done for the Shubert function using the hybrid algorithm and the GW algorithm, respectively, in order to avoid the effect of randomness. The average curves of the iterative process of the two algorithms are shown in Fig. 4. The green solid line is the hybrid algorithm and the blue dashed line is the GW algorithm.
Shubert Function - Simon Fraser University
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WebPython_Benchmark_Test_Optimization_Function_Single_Objective Available functions documentation Easy Use One-liner access: Filter the functions with their characteristics … WebThe Shubert function has several local minima and many global minima. The second plot shows the the function on a smaller input domain, to allow for easier viewing. Input Domain: The function is usually evaluated on the square x i ∈ [-10, 10], for all i = 1, 2, although this … WebA routine to compute the objective function (function shubert) is then defined. This function is called by the GA procedure once for each member of the solution population at each iteration. Note that the GA procedure passes the array selected as the first parameter of the function, and the function uses that array to obtain the selected ... sharon garlough brown bücher