A Quantum Particle Swarm Optimization Algorithm with Teamwork Evolutionary Strategy

Table 2

Gaussian chaotic mutation operator flow.

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Gaussian chaotic mutation algorithm

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Calculate the attractor fixed point , according to Equation (6).

Set the chaotic map search interval and according to Equations (14) and (15).

The particle is subjected to the chaotic mapping operation corresponding to Equations (17) and (18).

Apply the Gaussian mutation operation on particle according to Equations (19) and (20).

Is it better to evaluate the fitness function of the current value of the particle of the chaotic map sequence? and

update and .

Select the best individual in the calculated sample as the attractor of .

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