Optimal Control of Wastewater Treatment Process Based on Multi-objective Sparrow Algorithm
In order to solve the multi-objective optimization problem of effluent quality and total energy consumption in the wastewater treatment process,a multi-objective sparrow search algorithm based on integrating multiply strategies is proposed.Firstly,the sparrow population is initialized by using the good point set to make the population distribution more uniform,improve the search space,and the optimal guidance strategy and dynamic inertia weight are introduced into the finder position update formula to improve the problem of the finder converging to the origin,balance the global search and local development capabilities of the algorithm.Secondly,to improve the local escape ability of the algorithm,the position update strategy of the vigilant is improved,and the optimal position of the sparrow individual is disturbed.Finally,the population update method is introduced into the external archive update process to speed up the convergence of the algorithm and increase the population diversity.The experimental results show that the proposed algorithm has good optimization performance,effectively reduces the total energy consumption in the wastewater treatment process and improves the effluent quality.
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