Research On Collaborative Manufacturing Resources Optimization Deployment Based On DNA Genetic Algorithm

In the new globalization and network manufacturing environment, network collaborative manufacturing resources optimization deployment is the key technology to realize distributed collaborative manufacture; it has become one of the hot topics in the study field of modern integrated manufacturing. This study takes network collaborative manufacturing resources optimization deployment as a background, based on the manufacturing resource as the core, made a deep research about the information management and modeling problems of the manufacturing resources objects, mainly studied the Intelligent optimization simulation problems of the manufacturing resources which based on DNA genetic algorithm, laid a theoretical foundation for the optimize configuration of the manufacturing resources, and established network collaborative manufacturing resources optimization deployment system based on DNA genetic algorithm. The main research contents are as follows:(1) Study the theory basis of the collaborative manufacturing resources optimization deployment. Because there is no perfect and universally applicable theoretical basis for the current collaborative manufacturing resources optimization deployment, made systematic and multilevel theory basis research for the manufacturing resources from the aspects of concept and process; divided the collaborative manufacturing resources optimization deployment into three fields: collaborative manufacturing resources information model, collaborative manufacturing resources optimize configuration model and collaborative manufacturing resources optimize simulation algorithm, then established manufacturing resources optimization deployment conceptual model and process model with the manufacturing resources as the core; worked on the management of manufacturing resources and the model establishment based on UML.(2) Study on evaluation index and optimize configuration technology of network collaborative manufacturing resources. Due to the complexity of collaborative manufacturing, study the manufacturing resource selection from the more subtle resource capacity information levels, and establish more scientific and accurate qualitative index evaluation method, studied the optimize configuration technology--candidates for manufacturing resources collection which based on quantitative optimization index, attributed the manufacturing resources optimization allocation problem into three basic problems: the multi-objective workshops manufacturing resources scheduling technique in the traditional manufacturing model; the partner selection technology of the virtual enterprise or dynamic union; the network collaborative manufacturing resources optimization deployment; and presented the corresponding solving methods.(3) Study on simulation algorithm of collaborative manufacturing resources optimization deployment based on DNA genetic algorithm. For genetic algorithm has simple code and poor ability for local research, this paper mainly studies the method of using two kinds of improved genetic algorithm based on DNA computing to solve the problems of collaborative manufacturing resources optimization deployment. RNA-SIGA algorithm adopt four-digit-system encoding, use zoning selection method, design dynamically adaptive crossover and mutation operations; DNA-DIGA algorithm adopt sing-dual chain coding method, use the choose operation based on Pareto individual density sorting, design the crossover and mutation operations of classification gradient and mutations, proved the global convergence of these two algorithms by reasoning, using typical test function to make simulation test for these two kinds of algorithm, and by respectively using the genetic algorithm and the design algorithm to contrast solve three kinds of optimize configuration problems, the optimization results proved the effectiveness of the algorithm.(4) Study on design and development of network collaborative manufacturing resources optimization deployment system. Put forward the system structure and business process of network collaborative manufacturing resources optimization deployment system; complete the functions design and development of the system; realize the integration of the collaborative manufacturing resources optimization deployment which based on DNA genetic algorithm. Respectively set the multi-objective workshops collaborative resources optimization, collaborative partner selection and network collaborative manufacturing resources optimization deployment as the example, given the application process and operation results for the manufacturing resources optimization allocation, systemically verify the effectiveness of the theories, models and methods which proposed in this paper.