Abstract: In the process of forming manufacturing coopera- tive organization, an optimization problem of performance parameters of production manufacturing tasks are analysed.Then the process model of normal and inversive optimization is put forward, and moreover its macroscopical and microcosmic structures are investigated. These above studies show that both activities of manufacturing tasks optimization and resources deployment are an interdepended and indivisible entity based on market cooperative production. After the inverswe optimization process of tasks performance parameters is formalized based on researching the inversive optimization, the optimization mathematical model is constructed, and also a theorem of the optimal solutions existence is demonstrated by the theory of vector norm. On analyzing macroscopical and microcosmic strategies of genetic algorithm(GA), the optimization problem is solved by real-coded GA. The effectiveness of model and algorithm is proved by an example.

Key words: Genetic algorithm, Inversive optimization, Normal optimization, Performance parameters, Production manufacturing tasks