In paper two-level genetic and ant algorithms are proposed to optimize the functioning of the automated technological machining complex. For suggested genetic and unt algorithms it is designed the object-oriented simulation model, which allows to calculate the fitness function and evaluate potential solutions. The problem-oriented crossover, mutation and reproduction operators for two-level genetic algorithm are developed. The transition and calculation of the concentration for synthetic pheromone rules are determined for suggested ant algorithms.

The article discusses the issue optimization of the equipment loading schedules for automated technological complexes using genetic programming. Criteria for evaluating the effectiveness of the resulting schedule are determined. A two-level chromosome is proposed, containing information on the size the batch each type of detail and the sequence of their launch into production. A modification of the two-point crossing-over and the mutation operator has been developed, in which values are exchanged between two randomly selected chromosome elements. When a conflict occurs in the repeatability of string elements, a chain transformations is built based on the known chromosome regions, which give a one-to-one mapping. An object-oriented model of the work of automated technological complexes is used as a fitness function. The proposed modified genetic algorithm makes it possible to obtain suboptimal schedules of the complex operation within an acceptable time date.