Numerical optimization method based on cooperative group decision mechanism
A numerical optimization and group technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of numerical optimization method optimization performance depends on position distribution, individual maximum movement speed is limited, etc.
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[0057] Taking the benchmark function Shifted Sphere as an example, it is necessary to find the minimum value of the function, and the boundary range of the function is [-100, 100] m , during initialization, the initialization range of the individual position is limited to [-100, -80] m , the speed range is limited to [-1.5, 1.5] m , m is the dimension of the optimization variable, where m=2.
[0058] Specific steps are as follows:
[0059] The first step is to initialize the method parameters:
[0060] a. The number of individuals in the initialization group is n=20.
[0061] b. Randomly initialize the position of the individual in the group in [-100, -80] ; Randomly initialize speed in [-1.5, 1.5] , i=1, 2, ..., 20, j=1, 2, initialize
[0062] c. Initialize the number of neighbors of the individual N=7. Calculate the neighbor set of the i-th individual based on the number of neighbors i=1, 2, . . . , 20.
[0063] d. In the initial group cooperative decision-maki...
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