In this paper, the mathematic model of the optimum design parameter for automated pharmacy was put forward, and used a comprehensive learning multi-objective particle swarm algorithm optimize. The simulation experimen...
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ISBN:
(纸本)9781424472352
In this paper, the mathematic model of the optimum design parameter for automated pharmacy was put forward, and used a comprehensive learning multi-objective particle swarm algorithm optimize. The simulation experiment is given, which aimed at actual pharmacy case. The result of this paper provides that the algorithm can figure out multi-objective for the automated storage and retrieval system of the pharmacy.
The paper designed a hybrid improved particleswarmalgorithm for Constrained Optimization,a solution of an advanced fitness function,which introduced the conception of feasible zone to treat with the restrained ***,t...
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The paper designed a hybrid improved particleswarmalgorithm for Constrained Optimization,a solution of an advanced fitness function,which introduced the conception of feasible zone to treat with the restrained ***,the writer adopted the outer of set to preserve the non-dominated set just found,and joined tab algorithm in selecting of the optimal value of the best,so that it avoided getting into the optimizing locality earlier and improved the solution *** experiments indicated that this algorithm can solve the constraint multi-objective optimum problems,and it is a most potential multiobjective optimal approaches.
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