A Quantum Particle Swarm Optimization Algorithm with Teamwork Evolutionary Strategy

Table 1

CROSS-SQP operator algorithm.

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CROSS-SQP operator

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Update the Hessian matrix of the Lagrangian function and calculate the attraction points of the particles according to Equations (1)-(6);

Solve the SQP problem using the BFGS method according to Equations (7) and (8);

Generate the measurement position of the particles;

Evaluate the fitness value of the test location;

Update the crossover probability

Select the best individual in the calculated sample as of the particle

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