Population global optimization method for regional dynamic subdivision based on local Lipschitz estimation
A global optimization and regional technology, applied in computing, special data processing applications, instruments, etc., can solve problems such as low reliability, high calculation cost evaluation times, and slow convergence speed
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[0070] The present invention will be further described below in conjunction with the accompanying drawings.
[0071] refer to figure 1 with figure 2 , a global optimization method for regional dynamic subdivision population based on local Lipschitz estimation, including the following steps:
[0072] 1) Initialization: set constant C, population size N P , the lower bound a of each variable i and upper bound b i , set the invalid region IR to empty, generation g=0, and the number of poor individuals is N j = 0, the number of re-initialization of poor individuals t = 0, the initial population is randomly generated within the domain of each variable
[0073] 2) Support matrix initialization:
[0074] 2.1) According to the formula (1) for the unit simplex area S Each vertex of is converted to get the point x 1 ,x 2 ,...,x N+1 ;
[0075] x i = x i ′ Σ ...
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