Parallel Genetic Algorithm Model Based on AHP and Neural Networks for Enterprise Comprehensive Business

The comprehensive business includes many links, and the radical of agile networked manufacturing is reducing cost and improving agility for manufacturing enterprises. So,in order to form an agile networked manufacturing system, it needs selecting appropriate partners in every link. But it is difficult to select from so large number of partners. Genetic algorithm is a method for resolving combinatorial optimization problem, however, simple genetic algorithm still exist defect on computing speed, combining parallel method and neural networks, the computer speed of parallel genetic algorithm can become faster. Moreover, to determine the important of each selection attributes for agile networked manufacturing system, we adopt AHP. With parallel genetic algorithm model based on AHP, the agile networked manufacturing alliance can establish swiftly and accurately.