Optimization Scheduling Of Foundry Production Based On Parallel Chaos Optimization Algorithm

As the basic industry of manufacturing industry,the development level of casting industry is an important factor to measure the overall industrial level of a country.China’s casting industry is generally dominated by low-end castings,and most casting enterprises are small and micro enterprises,which mainly rely on personal experience to determine production plans,resulting in low production efficiency in the casting process.More reasonable production scheduling strategy is urgently needed to reduce resource consumption,improve production efficiency and enhance enterprise competitiveness.Therefore,this article takes casting industry as the research background,aims to provide casting enterprises with production plan solution ideas and promote enterprise automation construction by analyzing casting production process,establishing mathematical model in line with the actual production and designing optimization solution algorithm.The main research contents of this article are as follows:A multi-objective optimization scheduling model of casting modeling task was established based on the analysis of casting modeling process,which minimized completion time and energy consumption as the objective function.A multi-objective hybrid evolutionary algorithm(MOHEA)is designed to solve the model.The hybrid algorithm firstly uses parallel chaos optimization algorithm based on Tent mapping to find enough solutions with search potential to enhance the global search capability of the hybrid algorithm.At the same time,three strategies are introduced into the hybrid algorithm to enhance its ability to solve the production scheduling problem of multi-objective casting modeling task: The crossover and mutation operation ensured the diversity of population in the process of iteration.The simulated annealing mechanism and variable neighborhood search mechanism make the algorithm converge to the global optimal solution faster.A new solution development mechanism is designed to further reduce the energy consumption and improve the quality of the set solved by the algorithm.Finally,The effectiveness of the algorithm in solving the production scheduling problem of casting molding task is verified by comparative experiments on test cases.In order to minimize the total completion time,an optimization scheduling model for the whole casting process was established to solve the optimization scheduling problem of the whole casting process in the post-processing stage of the casting process,after the casting mold was obtained.The hybrid parallel chaos optimization algorithm(HPCOA)was designed to solve the model by combining the parallel chaos optimization algorithm with the variable neighborhood search algorithm based on the critical path.The hybrid algorithm used the double-layer coding mechanism to represent the solution of the discrete work piece scheduling problem,Cross mutation strategy is beneficial to improve the search ability of the algorithm.At the same time,The variable neighborhood search strategy adopts four different neighborhood structures based on critical path,which effectively enhances the development efficiency of the algorithm.Finally,three kinds of test examples with different scales of small,medium and large were designed,and the effectiveness of the hybrid algorithm in solving the optimization scheduling problem in the whole casting process was proved by comparative experiments on the test examples.Finally,combined with the casting production optimization scheduling model and optimization algorithm proposed above,the casting production optimization scheduling software system was developed,The principle of system design and the basic functions of the system are introduced in detail and the effectiveness of the system is verified by example test.