| The Satin bower bird optimization algorithm(SBO)is a new swarm intelligence optimization algorithm which simulates the nest courtship mechanism of satin bower bird in nature.Because this optimization algorithm is intuitive,efficient,simple and has been successfully applied in many fields.With the deepening of scholars' research,it is found that the algorithm has some shortcomings,such as low convergence accuracy and slow speed.In this paper,aiming at the problems of poor search accuracy and slow convergence speed of the algorithm,some improved versions of the Ornithological Bird optimization algorithm are proposed to improve the theory of the algorithm and expand its application scope.The main contents of this paper are as follows:(1)A quantum Satin Blue bowerbird optimization algorithm based on Bloch sphere is proposed.Quantum coding based on Bloch sphere is introduced into the social Satin Blue gardener bird optimization algorithm,which greatly enhances the diversity of population and overcomes the local convergence of the algorithm in the later stage.The Bloch sphere based quantum Satin Blue gardener bird optimization algorithm is applied to engineering optimization problems.(2)A Satin Blue gardener optimization algorithm based on complex coding is proposed to overcome the shortcomings of slow convergence speed and lack of population diversity in the later stage.The complex coding strategy is introduced into the gardener optimization algorithm to expand its search space and enhance population diversity.The Satin Blue gardener optimization algorithm based on complex coding is applied to function optimization.Problem.(3)Satin blue gardener optimization algorithm based on complex coding is used to solve the UAV route planning problem.Compared with the current commonly used intelligent algorithms such as ABC,CA,CS,DE,FPA,PSO,the results show that Satin blue gardener optimization algorithm can obtain better solution for UAV route planning problem. |
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